# Best Predictive Analytics Software for Medium-Sized Businesses *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)* Products classified in the overall Predictive Analytics category are similar in many regards and help companies of all sizes solve their business problems. However, medium-sized business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Medium-Sized Business Predictive Analytics to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Medium-Sized Business Predictive Analytics category. In addition to qualifying for inclusion in the Predictive Analytics Software category, to qualify for inclusion in the Medium-Sized Business Predictive Analytics Software category, a product must have at least 10 reviews left by a reviewer from a medium-sized business. ## Top Predictive Analytics Software at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Tableau](https://www.g2.com/products/tableau/reviews) | 4.4/5.0 (3,631 reviews) | Visual data storytelling with drag-and-drop forecasting | "[Tableau’s Flexible, Powerful Analytics with Deep Integrations and a Standout Community](https://www.g2.com/survey_responses/tableau-review-13060039)" | | 2 | [Clari](https://www.g2.com/products/clari/reviews) | 4.6/5.0 (5,499 reviews) | AI-driven revenue forecasting inside Salesforce pipelines | "[Clari Platform Review from a RevOps Perspective](https://www.g2.com/survey_responses/clari-review-12400239)" | | 3 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (758 reviews) | Enterprise ML model governance with low-code deployment | "[Powerful & Transforming Data into Decisions—Effortlessly and Intelligently.](https://www.g2.com/survey_responses/sas-viya-review-12682824)" | | 4 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,145 reviews) | SQL-based ML modeling on petabyte-scale datasets | "[Easy-to-Use Cloud Tool with Shareable, Saved Queries](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)" | | 5 | [Adobe Analytics](https://www.g2.com/products/adobe-analytics/reviews) | 4.2/5.0 (1,147 reviews) | Cross-channel customer journey analytics with Adobe integration | "[Powerful, Detailed Insights with Customizable Dashboards in Adobe Analytics](https://www.g2.com/survey_responses/adobe-analytics-review-12644645)" | | 6 | [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews) | 4.1/5.0 (438 reviews) | Enterprise forecasting with governed data models | "[Powerful, Scalable Analytics with Interactive Dashboards and Strong Governance](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018)" | | 7 | [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews) | 4.3/5.0 (675 reviews) | AWS-native dashboards with ML-powered forecasting | "[Fast, Serverless BI with Seamless AWS Integration](https://www.g2.com/survey_responses/amazon-quicksight-review-11692248)" | | 8 | [IBM SPSS Statistics](https://www.g2.com/products/ibm-spss-statistics/reviews) | 4.2/5.0 (893 reviews) | Point-and-click statistical modeling for non-programmers | "[Efficient, Reliable Statistical Analysis with an Approachable UI in IBM SPSS Statistics](https://www.g2.com/survey_responses/ibm-spss-statistics-review-12829044)" | | 9 | [SAP Analytics Cloud](https://www.g2.com/products/sap-analytics-cloud/reviews) | 4.2/5.0 (750 reviews) | — | "[SAP Analytics Cloud Clean Dashboards and Powerful Real Time Analytics in One Place](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12817514)" | | 10 | [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) | 4.3/5.0 (521 reviews) | Real-time predictive analytics on SAP transactional data | "[Blazing-Fast In-Memory Performance with Seamless SAP Integration](https://www.g2.com/survey_responses/sap-hana-cloud-review-12419032)" | --- ## What Are the Most Common Questions About Predictive Analytics Software? *AI-generated · Last updated: May 26, 2026* ### Which Predictive Analytics platforms let non-technical analysts build models without writing code? Based on G2 reviews, several predictive analytics tools are consistently described as approachable for non-technical users because they rely on visual workflows, drag-and-drop interfaces, or low-code model building. According to verified users, SAS Viya stands out for letting teams analyze data, build models, and create dashboards without heavy coding, while still supporting code when needed. G2 reviewers mention Pecan as a way to run predictive models quickly without a dedicated data science team, and Alteryx is often praised for making data preparation and analytics easier for business users who are not coders. These themes point to tools that reduce technical barriers while still supporting practical predictive work. **Here are some of the top-rated products on G2:** - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews/sas-viya-review-12717278) – supports no-code and code-based analytics with automated reporting and fast model work - [Pecan](https://www.g2.com/products/pecan/reviews/pecan-review-12160044) – helps teams run predictive models quickly without needing a full data science team - [Alteryx](https://www.g2.com/products/alteryx/reviews/alteryx-review-12847135) – enables non-coders to prep data, automate tasks, and produce KPI reporting ### Which Predictive Analytics platforms avoid predictions that fail spectacularly in live production environments? Based on G2 reviews, buyers tend to trust platforms that reviewers describe as reliable in production, easy to validate, and supported by strong deployment workflows. According to verified users, Pecan is frequently praised for getting predictive models live quickly and helping teams use them in sales, fraud, and demand planning use cases without a large data science function. G2 reviewers mention that it is not a black box to the same degree as some alternatives and that support teams help with setup and model improvement, which can reduce production risk. Reviews also suggest that platforms with clear monitoring, data organization, and repeatable workflows tend to inspire more confidence once predictions move into business operations. ### What Predictive Analytics most trusted by analytics leaders and data professionals based on verified reviews? Based on G2 reviews, Tableau appears most trusted by analytics leaders and data professionals in this review set because it has the strongest concentration of recent verified feedback and is repeatedly described as reliable for turning complex data into clear, actionable insights. According to verified users, Tableau helps analysts build dashboards quickly, connect multiple data sources, and support leadership reviews with interactive reporting. G2 reviewers mention its drag-and-drop workflow, strong visualization capabilities, and usefulness for spotting trends, tracking KPIs, and improving decision-making across teams. While users also note tradeoffs like pricing and learning curve, the recurring trust signal in these reviews comes from its widespread day-to-day use in analytics workflows. ### What Predictive Analytics with explainable results that business teams can trust and confidently act on? Based on G2 reviews, buyers looking for explainable predictive analytics often favor platforms that make model logic, signals, or statistical outputs easier to interpret for business teams. According to verified users, Pecan is valued because teams can analyze data, build predictive models, and review model behavior with support that helps business users understand results. G2 reviewers mention that GoodData.AI helps turn complex metrics into clearer dashboards and actionable insight, while IBM SPSS Statistics is repeatedly praised for making advanced statistical analysis approachable through structured outputs, tables, and charts. Across these reviews, trust tends to come from platforms that combine prediction with understandable presentation, not just raw model output. ### What most trusted Predictive Analytics by data teams and analysts based on verified user reviews? Based on G2 reviews, Tableau is the most trusted predictive analytics option in this dataset for data teams and analysts because reviewers repeatedly describe it as a dependable platform for analyzing large datasets, building dashboards, and sharing insights with both technical and non-technical stakeholders. According to verified users, Tableau shortens the time from raw data to decisions with drag-and-drop workflows, strong data connectivity, and interactive dashboards. G2 reviewers mention use cases ranging from forecasting and KPI tracking to supply chain analysis and executive reporting. The strongest trust signal here is not just positive sentiment, but the volume and consistency of recent reviews describing Tableau as part of daily analytics work. ### What Predictive Analytics platforms where models actually improve business decisions instead of sitting unused? Based on G2 reviews, the platforms that stand out are the ones reviewers say are tied directly to sales, operations, forecasting, or retention decisions rather than isolated experiments. According to verified users, Pecan helps teams prioritize leads, predict churn, forecast demand, and support next-purchase planning, which makes the outputs easier to operationalize. G2 reviewers mention SAS Viya as useful for large-scale analytics, dashboards, and machine learning in one environment, helping teams move from raw data to action more efficiently. Reviews also show that platforms gain adoption when they reduce manual work, fit existing workflows, and let business teams understand results without relying on a separate specialist team every time. ### Which Predictive Analytics tools require less data preparation and programming expertise than traditional approaches? Based on G2 reviews, several tools are described as reducing the amount of data preparation and coding typically associated with predictive analytics. According to verified users, Amazon Forecast helps teams generate forecasts without needing deep machine learning expertise, while Pecan is valued for letting SQL-capable or semi-technical users create predictive models without a full data science workflow. G2 reviewers mention Alteryx as especially helpful for cleaning, blending, and automating data preparation through a drag-and-drop interface. SAS Viya also appears in reviews as a low-code or no-code option for modeling and dashboarding. Overall, reviewers favor platforms that automate prep work, simplify model setup, and shorten the path from raw data to usable predictions. ### What highest rated Predictive Analytics for driving accurate and actionable business forecasting consistently? Based on G2 reviews, accurate and actionable business forecasting is most often associated with tools built for repeatable forecasting workflows and clear operational outputs. According to verified users, Nixtla is praised for fast forecasting, zero-shot forecasting across many series, and strong ease of use for sales, energy, and demand forecasting scenarios. G2 reviewers mention Amazon Forecast for reliable demand planning and inventory forecasting without requiring deep machine learning expertise. SAS Visual Forecasting is also highlighted for large-scale automated forecasting that provides a strong baseline. Across these reviews, the most valued forecasting platforms are those that save time, support faster decisions, and make forecasts practical enough to guide planning rather than stay theoretical. ### What is the best Predictive Analytics for teams turning raw data into accurate business forecasts without specialist PhDs? Based on G2 reviews, Pecan is the best fit for teams that want to turn raw data into usable business forecasts without needing specialist data science expertise. According to verified users, Pecan helps organizations build predictive models quickly through an interface that is approachable for SQL users and semi-technical teams, with strong support throughout setup and deployment. G2 reviewers mention use cases such as sales forecasting, customer lifetime value, churn prediction, lead prioritization, and demand planning. Reviews consistently describe faster time to value, easier onboarding, and practical business outputs. That combination makes it especially appealing for teams that want forecasting capability without building a full in-house modeling function. ### What top Predictive Analytics solutions predicting customer churn before valuable customers leave the business? Based on G2 reviews, churn prediction is most strongly associated with platforms that help teams identify at-risk users early enough to act. According to verified users, Pecan is repeatedly used for churn risk analysis, customer lifetime value, next-purchase prediction, and identifying high-value customers for more targeted outreach. G2 reviewers mention Amazon Forecast and Nixtla more often for demand and time-series forecasting, while Pecan stands out for customer-focused predictive use cases tied to retention and commercial action. Reviews suggest that churn tools are most valuable when they turn raw customer data into practical signals for sales, marketing, or customer teams, helping them focus on intervention before customers disengage. **Here are some of the top-rated products on G2:** - [Pecan](https://www.g2.com/products/pecan/reviews/pecan-review-11579534) – used for churn risk analysis and broader customer behavior prediction - [Amazon Forecast](https://www.g2.com/products/amazon-forecast/reviews/amazon-forecast-review-12255988) – supports planning with more reliable forecasts for resource and business decisions - [Nixtla](https://www.g2.com/products/nixtla/reviews/nixtla-review-11514059) – helps teams maintain high-quality forecasts with minimal model overhead ## How Many Predictive Analytics Software Products Does G2 Track? **Total Products under this Category:** 293 ### Category Stats (Jul 2026) - **Average Rating**: 4.44/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Guidewheel (+1.29%) - Among all products in this category, Guidewheel recorded the largest rating increase compared to last month *Last updated: July 06, 2026* ## How Does G2 Rank Predictive Analytics Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 30,600+ Authentic Reviews - 293+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Predictive Analytics Software Is Best for Your Use Case? - **Best for Small Businesses:** [Tableau](https://www.g2.com/products/tableau/reviews) - **Best for Mid-Market:** [Tableau](https://www.g2.com/products/tableau/reviews) - **Best for Enterprise:** [Tableau](https://www.g2.com/products/tableau/reviews) - **Highest User Satisfaction:** [Clari](https://www.g2.com/products/clari/reviews) - **Best Free Software:** [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) --- **Sponsored** ### SAS Viya SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=499&secure%5Bchosen_at%5D=2026-07-06T16%3A08%3A49Z&secure%5Bdisplayable_resource_id%5D=499&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=499&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1327283&secure%5Bresource_id%5D=499&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fpredictive-analytics%2Fmid-market%3Fsegment%3Dmid-market&secure%5Btoken%5D=5d41882b2b4d4ff7b9b5f30b77925068d9b12973d7e87e3bb29ef390e2e744b9&secure%5Burl%5D=https%3A%2F%2Fwww.sas.com%2Fgms%2Fredirect.jsp%3Fdetail%3DPLN73455_275629423&secure%5Burl_type%5D=custom_url) --- ## What Are the Top-Rated Predictive Analytics Software Products in 2026? ### 1. [Tableau](https://www.g2.com/products/tableau/reviews) Tableau is the world’s leading AI-powered analytics platform. Whether you are a business user or an analyst, Tableau turns trusted data into actionable insights. With our flexible, interoperable platform, you can: Turn data into action at scale with human and agent collaboration. Tableau Next delivers agentic AI for faster data-insight-action workflows. It surfaces insights, provides proactive recommendations, and helps you take action in the flow of work. Scale data-driven insights with complete operational confidence. Tableau Cloud enables fully managed analytics at scale. It accelerates your time to value and gives you access to the latest AI-powered innovations. Deploy visual, self-service analytics with unmatched control and flexibility. Tableau Server meets your organization's governance and security needs. It provides enterprise-grade, self-service analytics on-premise or in your private cloud. **Average Rating:** 4.4/5.0 **Total Reviews:** 3,631 **How Do G2 Users Rate Tableau?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10) - **AI Text Summarization:** 8.0/10 (Category avg: 8.1/10) - **Algorithms:** 8.4/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Tableau?** - **Seller:** [Salesforce](https://www.g2.com/sellers/salesforce) - **Company Website:** https://www.salesforce.com/ - **Year Founded:** 1999 - **HQ Location:** San Francisco, CA - **Twitter:** @salesforce (579,511 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3185/ (83,223 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Business Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 41% Enterprise, 36% Mid-Market #### What Are Tableau's Pros and Cons? **Pros:** - Ease of Use (634 reviews) - Data Visualization (544 reviews) - Visualization (412 reviews) - Features (340 reviews) - Intuitive (309 reviews) **Cons:** - Learning Curve (275 reviews) - Learning Difficulty (234 reviews) - Expensive (217 reviews) - Slow Performance (151 reviews) - Difficulty (135 reviews) ### What Do G2 Reviewers Say About Tableau? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** in Tableau for creating interactive dashboards and visualizing data effortlessly. - Users value the **simplicity and versatility** of Tableau for creating interactive visuals from diverse data sources. - Users appreciate the **intuitive and powerful data visualization** capabilities of Tableau for creating impactful dashboards easily. - Users love Tableau for its **ease of use and high-quality reports** , making data visualization effortless and engaging. - Users find Tableau's **intuitive interface** easy for creating powerful visualizations and dashboards without coding experience. **Cons:** - Users find the **learning curve steep** with Tableau, complicating onboarding and integration within the Salesforce ecosystem. - Users find **learning difficulty** with Tableau due to complex features and a steep learning curve compared to other tools. - Users highlight the **high cost** of Tableau, which raises concerns about its overall value and integration capabilities. - Users experience **slow performance** with large datasets and lengthy data refresh processes, hindering efficiency and usability. - Users find the **difficult onboarding process** of Tableau complicates usage and makes simple tasks unnecessarily challenging. #### What Are Recent G2 Reviews of Tableau? **"[Tableau’s Flexible, Powerful Analytics with Deep Integrations and a Standout Community](https://www.g2.com/survey_responses/tableau-review-13060039)"** **Rating:** 5.0/5.0 stars *— Luigi C.* [Read full review](https://www.g2.com/survey_responses/tableau-review-13060039) --- **"[High-Quality reporting for Cloud Infrastructure Insights](https://www.g2.com/survey_responses/tableau-review-13066124)"** **Rating:** 4.5/5.0 stars *— Deepti N.* [Read full review](https://www.g2.com/survey_responses/tableau-review-13066124) --- #### What Are G2 Users Discussing About Tableau? - [How are business intelligence professionals using Tableau's latest visualization tools to interpret complex data sets?](https://www.g2.com/discussions/how-are-business-intelligence-professionals-using-tableau-s-latest-visualization-tools-to-interpret-complex-data-sets) - 2 comments - [What is Salesforce CRM Analytics (formerly Tableau CRM) used for?](https://www.g2.com/discussions/what-is-salesforce-crm-analytics-formerly-tableau-crm-used-for) - [Do I need Tableau Desktop if I have Tableau Server?](https://www.g2.com/discussions/tableau-do-i-need-tableau-desktop-if-i-have-tableau-server) - 2 comments - [Do I need Tableau Desktop if I have Tableau Server?](https://www.g2.com/discussions/do-i-need-tableau-desktop-if-i-have-tableau-server) - 2 comments - [What's New in Tableau Server?](https://www.g2.com/discussions/what-s-new-in-tableau-server) - 1 comment ### 2. [Clari](https://www.g2.com/products/clari/reviews) Clari+Salesloft is a category-transforming AI company architecting the future of revenue. By building the world’s first Predictive Revenue System, we help organizations move beyond fragmented applications and systems of record to a model that continuously drives and adapts revenue execution. Our platform captures deal data signals, and uses tailor-built AI to create the right context and drive action across sales teams. Instead of disconnected insights and siloed workflows, sales teams operate with shared understanding, faster decisions, and execution that stays aligned to the business. Trusted by thousands of enterprises including Adobe, 3M, IBM, and Zoom, Clari+Salesloft powers the forecast, surfaces pipeline risk, and drives proactive execution—returning thousands of hours to the field and enabling predictable, scalable growth. **Average Rating:** 4.6/5.0 **Total Reviews:** 5,499 **How Do G2 Users Rate Clari?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Clari?** - **Seller:** [Salesloft](https://www.g2.com/sellers/salesloft) - **Company Website:** https://salesloft.com - **Year Founded:** 2011 - **HQ Location:** Atlanta, GA - **Twitter:** @Salesloft (18,437 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2296178/ (1,097 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Account Executive, Account Manager - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 47% Mid-Market, 41% Enterprise #### What Are Clari's Pros and Cons? **Pros:** - Ease of Use (241 reviews) - Integrations (184 reviews) - Features (180 reviews) - Helpful (171 reviews) - SFDC Integration (141 reviews) **Cons:** - Salesforce Integration (131 reviews) - Not Intuitive (102 reviews) - Integration Issues (97 reviews) - Slow Loading (91 reviews) - Complexity (85 reviews) ### What Do G2 Reviewers Say About Clari? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** in Clari, allowing quick dashboard creation and simplified forecasting management. - Users value the **seamless integration with Salesforce** , enhancing workflow efficiency and simplifying access to sales opportunities. - Users value Clari's **advanced forecasting and analysis features** that enhance financial management and decision-making. - Users find Clari to be extremely **helpful for sales forecasting** , providing quick insights and simplifying reporting processes. - Users appreciate the **seamless SFDC integration** of Clari, simplifying deal updates and enhancing overall usability. **Cons:** - Users experience **inconsistent Salesforce data reflection** , leading to confusion and reliance on possibly delayed information. - Users find the **navigation unintuitive** , creating a steep learning curve and confusion for new users. - Users face **integration issues** with Clari, wishing for more control and efficiency without relying solely on Salesforce. - Users experience **slow loading** times, particularly when pulling updates from SFDC, impacting overall performance. - Users find **Clari's complexity** a challenge, particularly with its initial configuration and navigation difficulty. #### What Are Recent G2 Reviews of Clari? **"[Clari has met and exceed our expectations for our GTM Oganization](https://www.g2.com/survey_responses/clari-review-10775002)"** **Rating:** 4.0/5.0 stars *— Eric M.* [Read full review](https://www.g2.com/survey_responses/clari-review-10775002) --- **"[Clari Platform Review from a RevOps Perspective](https://www.g2.com/survey_responses/clari-review-12400239)"** **Rating:** 5.0/5.0 stars *— Matt D.* [Read full review](https://www.g2.com/survey_responses/clari-review-12400239) --- #### What Are G2 Users Discussing About Clari? - [How does Groove's integration with Clari enhance sales and revenue operations?](https://www.g2.com/discussions/how-does-groove-s-integration-with-clari-enhance-sales-and-revenue-operations) - 1 comment - [How is Groove, a Clari Company being used to enhance operational efficiency and user experience in its specific field?](https://www.g2.com/discussions/how-is-groove-a-clari-company-being-used-to-enhance-operational-efficiency-and-user-experience-in-its-specific-field) - [How do I add groove to Gmail?](https://www.g2.com/discussions/how-do-i-add-groove-to-gmail) - 1 comment - [How much does groove cost?](https://www.g2.com/discussions/how-much-does-groove-cost) - 1 comment, 1 upvote - [What groove means in music?](https://www.g2.com/discussions/what-groove-means-in-music) - 7 comments ### 3. [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) BigQuery is a fully managed, AI-ready data analytics platform that helps you maximize value from your data and is designed to be multi-engine, multi-format, and multi-cloud. Store 10 GiB of data and run up to 1 TiB of queries for free per month. **Average Rating:** 4.5/5.0 **Total Reviews:** 1,145 **How Do G2 Users Rate Google Cloud BigQuery?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10) - **AI Text Summarization:** 7.6/10 (Category avg: 8.1/10) - **Algorithms:** 8.8/10 (Category avg: 8.5/10) - **AI Text Generation:** 7.4/10 (Category avg: 8.1/10) **Who Is the Company Behind Google Cloud BigQuery?** - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google (31,899,995 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (341,888 employees on LinkedIn®) - **Ownership:** NASDAQ:GOOG **Who Uses This Product?** - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 38% Enterprise, 35% Mid-Market #### What Are Google Cloud BigQuery's Pros and Cons? **Pros:** - Ease of Use (156 reviews) - Speed (143 reviews) - Fast Querying (120 reviews) - Integrations (118 reviews) - Query Efficiency (114 reviews) **Cons:** - Expensive (127 reviews) - Query Issues (78 reviews) - Cost Issues (63 reviews) - Cost Management (60 reviews) - Learning Curve (54 reviews) ### What Do G2 Reviewers Say About Google Cloud BigQuery? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** in BigQuery, allowing them to run complex queries effortlessly. - Users highlight the **incredible speed** of Google Cloud BigQuery, making data handling efficient and user-friendly. - Users highlight the **fast querying capabilities** of Google Cloud BigQuery, making data analysis efficient and effortless. - Users value the **seamless integrations** of BigQuery with other Google Cloud products, enhancing their analytics capabilities significantly. - Users appreciate the **query efficiency** of Google Cloud BigQuery, highlighting its effortless processing of complex data. **Cons:** - Users find that the **cost can escalate quickly** with Google Cloud BigQuery if not carefully monitored. - Users struggle with **query issues** in BigQuery, facing challenges in cost management and optimization of queries. - Users express concerns over **cost issues** , particularly due to high expenses from poorly optimized queries. - Users find **cost management challenging** due to high fees for poorly optimized queries and small dataset limitations. - Users find the **learning curve** for advanced features in Google Cloud BigQuery challenging, contributing to billing misunderstandings. #### What Are Recent G2 Reviews of Google Cloud BigQuery? **"[Easy-to-Use Cloud Tool with Shareable, Saved Queries](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)"** **Rating:** 4.0/5.0 stars *— Reetika P.* [Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418) --- **"[Scalable, Secure BigQuery That Connects Seamlessly Across Services](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747)"** **Rating:** 5.0/5.0 stars *— Aayush M.* [Read full review](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12638747) --- #### What Are G2 Users Discussing About Google Cloud BigQuery? - [Is Big Query free?](https://www.g2.com/discussions/is-big-query-free) - 3 comments, 1 upvote - [Is BigQuery part of Google Cloud Platform?](https://www.g2.com/discussions/is-bigquery-part-of-google-cloud-platform) - 2 comments, 2 upvotes - [What is Google BigQuery based on?](https://www.g2.com/discussions/what-is-google-bigquery-based-on) - 1 comment - [What is Google BigQuery used for?](https://www.g2.com/discussions/what-is-google-bigquery-used-for) - 1 comment ### 4. [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews) Amazon QuickSight is a cloud-based unified business intelligence (BI) service at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, natural language queries and embedded analytics. With Amazon Q in QuickSight, business analysts and business users can use natural language to build, discover, and share meaningful insights in seconds, turning insights into impact faster. Over 100,000 customers use Amazon QuickSight. Learn more at https://quicksight.aws **Average Rating:** 4.3/5.0 **Total Reviews:** 675 **How Do G2 Users Rate Amazon QuickSight?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **AI Text Summarization:** 8.1/10 (Category avg: 8.1/10) - **Algorithms:** 8.1/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.2/10 (Category avg: 8.1/10) **Who Is the Company Behind Amazon QuickSight?** - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (147,094 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Who Uses This:** Data Analyst, Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 40% Small-Business, 37% Mid-Market #### What Are Amazon QuickSight's Pros and Cons? **Pros:** - Integrations (69 reviews) - Ease of Use (62 reviews) - Easy Integrations (57 reviews) - Data Visualization (41 reviews) - Dashboard Management (39 reviews) **Cons:** - Limited Customization (62 reviews) - Learning Curve (36 reviews) - Limited Visualization (26 reviews) - Missing Features (20 reviews) - Poor Interface Design (20 reviews) ### What Do G2 Reviewers Say About Amazon QuickSight? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **seamless integration with AWS services** in Amazon QuickSight, enhancing their dashboard creation experience. - Users appreciate the **ease of use** of Amazon QuickSight, valuing its seamless integration with AWS and user-friendly interface. - Users appreciate the **easy integrations** of Amazon QuickSight, enhancing convenience with AWS services and reducing development overhead. - Users appreciate the **interactive dashboards and data visualization** capabilities of Amazon QuickSight for real-time insights and reporting. - Users enjoy the **user-friendly dashboard management** in Amazon QuickSight, enabling efficient data visualization and insights sharing. **Cons:** - Users find **limited customization options** in Amazon QuickSight restrict their ability to tailor dashboards effectively. - Users find the **learning curve steep** for Amazon QuickSight, requiring prior AWS knowledge for effective use. - Users feel the **limited visualization options** in QuickSight hinder customization and advanced interactivity in dashboards. - Users note the **missing features** in Amazon QuickSight compared to competitors like Power BI and Tableau, limiting customization. - Users find the **poor interface design** of Amazon QuickSight hampers usability and limits deeper customization options. #### What Are Recent G2 Reviews of Amazon QuickSight? **"[Fast, Serverless BI with Seamless AWS Integration](https://www.g2.com/survey_responses/amazon-quicksight-review-11692248)"** **Rating:** 4.5/5.0 stars *— Jawher S.* [Read full review](https://www.g2.com/survey_responses/amazon-quicksight-review-11692248) --- **"[Turns Raw Data into Interactive Dashboards for Better Trend Monitoring](https://www.g2.com/survey_responses/amazon-quicksight-review-12740199)"** **Rating:** 4.0/5.0 stars *— Aviral G.* [Read full review](https://www.g2.com/survey_responses/amazon-quicksight-review-12740199) --- #### What Are G2 Users Discussing About Amazon QuickSight? - [What is Amazon QuickSight used for?](https://www.g2.com/discussions/what-is-amazon-quicksight-used-for) - 2 comments, 1 upvote - [What is new in QuickSight?](https://www.g2.com/discussions/what-is-new-in-quicksight) - 1 comment, 1 upvote - [Is AWS QuickSight free?](https://www.g2.com/discussions/is-aws-quicksight-free) - 2 comments, 1 upvote - [How does AWS QuickSight work?](https://www.g2.com/discussions/how-does-aws-quicksight-work) - 2 comments, 1 upvote - [What is Amazon QuickSight?](https://www.g2.com/discussions/what-is-amazon-quicksight) - 2 comments, 1 upvote ### 5. [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) SAS Viya is a cloud-native data and AI platform that enables teams to build, deploy and scale explainable AI that drives trusted, confident decisions. It unites the entire data and AI life cycle and empowers teams to innovate quickly while balancing speed, automation and governance by design. Viya unifies data management, advanced analytics and decisioning in a single platform, so organizations can move from experimentation to production with confidence, delivering measurable business impact that is secure, explainable and scalable across any environment. Key capabilities required to deliver trusted decisions include: • End-to-end clarity across the data and AI life cycle, with built-in lineage, auditability and continuous monitoring to support defensible decisions. • Governance by design, enabling consistent oversight across data, models and decisions to reduce risk and accelerate adoption. • Explainable AI at scale, so insights and outcomes can be understood, validated and trusted by business and regulators alike. • Operationalized analytics, ensuring value continues beyond deployment through monitoring, retraining and life cycle management. • Flexible, cloud-native deployment, allowing organizations to start anywhere and scale everywhere while maintaining control. **Average Rating:** 4.3/5.0 **Total Reviews:** 758 **How Do G2 Users Rate SAS Viya?** - **Has the product been a good partner in doing business?:** 8.2/10 (Category avg: 8.9/10) - **AI Text Summarization:** 6.7/10 (Category avg: 8.1/10) - **Algorithms:** 8.6/10 (Category avg: 8.5/10) - **AI Text Generation:** 6.3/10 (Category avg: 8.1/10) **Who Is the Company Behind SAS Viya?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Company Website:** https://www.sas.com/ - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Student, Statistical Programmer - **Top Industries:** Pharmaceuticals, Banking - **Company Size:** 33% Enterprise, 33% Small-Business #### What Are SAS Viya's Pros and Cons? **Pros:** - Ease of Use (234 reviews) - Features (218 reviews) - Analytics (196 reviews) - Data Analysis (166 reviews) - User Interface (147 reviews) **Cons:** - Learning Difficulty (151 reviews) - Learning Curve (144 reviews) - Complexity (143 reviews) - Difficult Learning (117 reviews) - Expensive (108 reviews) ### What Do G2 Reviewers Say About SAS Viya? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** in SAS Viya, enabling effortless data visualization and enhancing decision-making efficiency. - Users value the **advanced analytical capabilities** of SAS Viya, enhancing decision-making with a user-friendly interface. - Users appreciate the **sophisticated analytical methods** in SAS Viya, enhancing decision-making and providing valuable business insights. - Users value the **end-to-end data lifecycle tooling** of SAS Viya, enhancing insights and streamlining logistic data analysis. - Users value the **user-friendly interface** of SAS Viya, making complex analytics accessible to all skill levels. **Cons:** - Users find it **difficult for non-technical users** to navigate reports and dashboards, impacting their overall experience. - Users find the **learning curve challenging** , especially non-technical users struggling to access reports and dashboards. - Users find the **complexity of visualization** in SAS Viya challenging, especially for newcomers and non-technical individuals. - Users find the **difficult learning curve** of SAS Viya challenging, particularly for new and non-technical users. - Users find the pricing of SAS Viya to be **expensive** and often confusing without extensive communication. #### What Are Recent G2 Reviews of SAS Viya? **"[Powerful & Transforming Data into Decisions—Effortlessly and Intelligently.](https://www.g2.com/survey_responses/sas-viya-review-12682824)"** **Rating:** 4.5/5.0 stars *— Venkatesh D.* [Read full review](https://www.g2.com/survey_responses/sas-viya-review-12682824) --- **"[SAS Viya is a Powerful Analytics](https://www.g2.com/survey_responses/sas-viya-review-11702846)"** **Rating:** 5.0/5.0 stars *— Deependra G.* [Read full review](https://www.g2.com/survey_responses/sas-viya-review-11702846) --- #### What Are G2 Users Discussing About SAS Viya? - [What is SAS Visual Data Mining and Machine Learning used for?](https://www.g2.com/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 2 comments ### 6. [Adobe Analytics](https://www.g2.com/products/adobe-analytics/reviews) Adobe Analytics empowers marketing, product, and business teams with insights to understand their customers and the journeys they take across digital channels, products, content, and services. From digital data collection and relational clickstream processing to in-depth analysis, and reporting, Adobe Analytics helps you understand visitor engagement across your digital properties — making it possible to optimize digital marketing strategies, improve user experience, and drive business growth. Features: - Collect and ingest behavioral data in real-time from your web and mobile channels. - Automatically convert raw data for unlimited analysis to discover customer patterns, spot anomalies, identify friction in your digital experiences, and uncover insights from digital journeys. - Equip marketers and analysts with AI capabilities that speed through analyses so they can quickly and confidently generate insights to improve the digital experience. - Integrate and share insights, segments, and outputs from your data across other business applications. **Average Rating:** 4.2/5.0 **Total Reviews:** 1,147 **How Do G2 Users Rate Adobe Analytics?** - **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 8.9/10) - **AI Text Summarization:** 9.1/10 (Category avg: 8.1/10) - **Algorithms:** 8.6/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.8/10 (Category avg: 8.1/10) **Who Is the Company Behind Adobe Analytics?** - **Seller:** [Adobe](https://www.g2.com/sellers/adobe) - **Company Website:** https://adobe.com - **Year Founded:** 1982 - **HQ Location:** San Jose, CA - **Twitter:** @Adobe (956,842 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1480/ (42,087 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Analyst - **Top Industries:** Marketing and Advertising, Information Technology and Services - **Company Size:** 42% Enterprise, 30% Mid-Market #### What Are Adobe Analytics's Pros and Cons? **Pros:** - Insights (84 reviews) - Analytics (77 reviews) - Ease of Use (74 reviews) - Features (59 reviews) - Reporting (37 reviews) **Cons:** - Learning Curve (51 reviews) - Steep Learning Curve (27 reviews) - Expensive (23 reviews) - Slow Performance (23 reviews) - Complexity (18 reviews) ### What Do G2 Reviewers Say About Adobe Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **advanced segmentation and customizable dashboards** of Adobe Analytics for effective data analysis and visualization. - Users highlight the **advanced segmentation and customizable dashboards** of Adobe Analytics, enhancing data analysis and visualization. - Users find Adobe Analytics' **ease of use** enhances their experience, making data analysis and visualization straightforward. - Users value the **advanced data analysis** features of Adobe Analytics, enabling insightful decision-making and performance measurement. - Users find Adobe Analytics' **reporting features** invaluable for making informed decisions and understanding user behavior. **Cons:** - Users find the **learning curve steep** , requiring extensive training and resources for effective use of Adobe Analytics. - Users face a **steep learning curve** with Adobe Analytics, making it complex to utilize effectively without training. - Users find Adobe Analytics **expensive** , which may deter smaller teams from adopting the powerful tool effectively. - Users experience **slow performance** with Adobe Analytics, particularly when handling large datasets and editing reporting suites. - Users find the **complexity** of Adobe Analytics daunting, often requiring extensive training and time to grasp effectively. #### What Are Recent G2 Reviews of Adobe Analytics? **"[Powerful, Detailed Insights with Customizable Dashboards in Adobe Analytics](https://www.g2.com/survey_responses/adobe-analytics-review-12644645)"** **Rating:** 4.5/5.0 stars *— Poorvaa M.* [Read full review](https://www.g2.com/survey_responses/adobe-analytics-review-12644645) --- **"[Powerful analytics tool for deep user insights and data driven decisions](https://www.g2.com/survey_responses/adobe-analytics-review-12736389)"** **Rating:** 4.5/5.0 stars *— Dharamveer p.* [Read full review](https://www.g2.com/survey_responses/adobe-analytics-review-12736389) --- #### What Are G2 Users Discussing About Adobe Analytics? - [What is Adobe Analytics used for?](https://www.g2.com/discussions/what-is-adobe-analytics-used-for) - 2 comments ### 7. [Alteryx](https://www.g2.com/products/alteryx/reviews) Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial. **Average Rating:** 4.6/5.0 **Total Reviews:** 829 **How Do G2 Users Rate Alteryx?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **AI Text Summarization:** 7.2/10 (Category avg: 8.1/10) - **Algorithms:** 8.3/10 (Category avg: 8.5/10) - **AI Text Generation:** 7.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Alteryx?** - **Seller:** [Alteryx](https://www.g2.com/sellers/alteryx) - **Company Website:** https://www.alteryx.com - **Year Founded:** 1997 - **HQ Location:** Irvine, CA - **Twitter:** @alteryx (26,149 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/903031/ (2,304 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Analyst - **Top Industries:** Financial Services, Accounting - **Company Size:** 63% Enterprise, 21% Mid-Market #### What Are Alteryx's Pros and Cons? **Pros:** - Ease of Use (333 reviews) - Automation (148 reviews) - Intuitive (132 reviews) - Easy Learning (102 reviews) - Efficiency (102 reviews) **Cons:** - Expensive (88 reviews) - Learning Curve (80 reviews) - Missing Features (62 reviews) - Learning Difficulty (55 reviews) - Slow Performance (41 reviews) ### What Do G2 Reviewers Say About Alteryx? *AI-generated summary from verified user reviews* **Pros:** - Users love the **user-friendly interface** of Alteryx, making it easy for anyone to efficiently complete tasks. - Users appreciate the **automation capabilities** of Alteryx, enhancing speed and efficiency in data processing tasks. - Users find Alteryx **very intuitive and easy to learn** , making technology accessible for non-technical individuals. - Users find Alteryx to be **very easy to learn and use** , enhancing their workflow automation and data analytics experience. - Users value the **efficiency** of Alteryx, effortlessly managing and processing data for streamlined analysis and reporting. **Cons:** - Users find the **pricing excessively high** , making it challenging for small teams and startups to afford. - Users face a **steep learning curve** with Alteryx, requiring time to master its advanced features and operations. - Users highlight the **missing features** in Alteryx, notably lacking good reporting and direct database access. - Users find the **learning difficulty** of Alteryx challenging, especially for those not familiar with RegEx or SQL. - Users experience **slow performance** with Alteryx, especially during analysis of large workflows, impacting efficiency. #### What Are Recent G2 Reviews of Alteryx? **"[Intuitive Drag-and-Drop Analytics That Speeds Up Data Prep and Insights](https://www.g2.com/survey_responses/alteryx-review-12983224)"** **Rating:** 4.5/5.0 stars *— Akhil S.* [Read full review](https://www.g2.com/survey_responses/alteryx-review-12983224) --- **"[Alteryx Streamlines Data Prep with an Intuitive Drag-and-Drop Workflow Builder](https://www.g2.com/survey_responses/alteryx-review-13000974)"** **Rating:** 4.5/5.0 stars *— Ankit K.* [Read full review](https://www.g2.com/survey_responses/alteryx-review-13000974) --- ### 8. [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews) IBM Cognos Analytics is a business intelligence and analytics solution that uses agentic AI to help teams transform trusted data into actionable insights, build governed analytical applications, and make better decisions. Teams can explore data, monitor KPIs, analyze performance, forecast trends, and share insights across the business. The solution is built for business leaders, analysts, report authors, IT teams, and data governance teams that need governed reporting, self-service analytics, data modeling, and flexible deployment options. Common use cases include enterprise reporting, operational reporting, financial reporting, dashboarding, performance management, forecasting, and governed self-service analytics. It supports both centralized BI teams and distributed users who need consistent access to trusted analytics. Key capabilities: 1. Create governed reports and dashboards: Build, schedule, distribute, and manage reports, dashboards, and visualizations for teams, executives, and stakeholders. Support routine reporting, business reviews, and purpose-built analytical applications with consistent information. 2. Explore data with control: Use self-service analytics, certified data models, governed metrics, access controls, and auditability to keep reporting consistent across teams and departments. 3. Analyze and forecast faster: Use natural-language assistance, automated insights, and forecasting to help users understand data faster in supported versions and deployments. 4. Put Reporting Agents to work: Use agentic AI capabilities in supported versions and deployments to find reports, summarize results, share insights, and create or refine reports using natural language. 5. Deploy where the business needs it: Run Cognos Analytics in on-premises, IBM-hosted, hybrid, or certified container environments to align with infrastructure, security, and governance requirements. Cognos Analytics helps organizations reduce repetitive reporting work, improve consistency across metrics and dashboards, and make governed data analytics easier to access across the business. **Average Rating:** 4.1/5.0 **Total Reviews:** 438 **How Do G2 Users Rate IBM Cognos Analytics?** - **Has the product been a good partner in doing business?:** 7.8/10 (Category avg: 8.9/10) - **AI Text Summarization:** 8.0/10 (Category avg: 8.1/10) - **Algorithms:** 8.6/10 (Category avg: 8.5/10) - **AI Text Generation:** 7.9/10 (Category avg: 8.1/10) **Who Is the Company Behind IBM Cognos Analytics?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Company Website:** https://www.ibm.com - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, Analyst - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 57% Enterprise, 26% Mid-Market #### What Are IBM Cognos Analytics's Pros and Cons? **Pros:** - Ease of Use (20 reviews) - Report Generation (11 reviews) - Dashboard Management (9 reviews) - Analytics (8 reviews) - Dashboard Customization (8 reviews) **Cons:** - Learning Curve (9 reviews) - Complexity (5 reviews) - Complex Usage (5 reviews) - Learning Difficulty (5 reviews) - Report Issues (5 reviews) ### What Do G2 Reviewers Say About IBM Cognos Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of IBM Cognos Analytics, enabling quick data analysis and intuitive visualizations. - Users value the **powerful report generation** capabilities of IBM Cognos Analytics, enhancing data analysis and usability. - Users appreciate the **ease of building complex dashboards** with IBM Cognos Analytics, even for novice data users. - Users value the **capability to build visualizations easily** , enabling swift data transformation into insights and reports. - Users value the **dashboard customization** in Cognos Analytics, allowing them to create clear and impactful data visuals easily. **Cons:** - Users find the **learning curve steep** , requiring significant time and training to effectively utilize IBM Cognos Analytics. - Users find IBM Cognos Analytics **complex to navigate** and challenging for building intricate reports without extensive training. - Users find the **complex usage** of IBM Cognos Analytics challenging, making it difficult to learn and generate reports effectively. - Users find it **difficult to learn and navigate** IBM Cognos Analytics, especially when creating complex reports. - Users find it challenging to locate **historical reports** , particularly novices struggling with the reporting module. #### What Are Recent G2 Reviews of IBM Cognos Analytics? **"[Powerful, Scalable Analytics with Interactive Dashboards and Strong Governance](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018)"** **Rating:** 4.0/5.0 stars *— Arkajit D.* [Read full review](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018) --- **"[Powerful Reporting, Less Modern Interface](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-13048146)"** **Rating:** 4.0/5.0 stars *— Nunna Sai .* [Read full review](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-13048146) --- #### What Are G2 Users Discussing About IBM Cognos Analytics? - [What is IBM Cognos Analytics with Watson used for?](https://www.g2.com/discussions/what-is-ibm-cognos-analytics-with-watson-used-for) - 1 comment ### 9. [IBM SPSS Statistics](https://www.g2.com/products/ibm-spss-statistics/reviews) IBM SPSS Statistics is an end-to-end statistical solution that simplifies advanced statistical analysis across industries for users of any statistical expertise. It offers comprehensive resources, expert support, and proven reliability to transform complex data into impactful decisions IBM SPSS Statistics recent version 32 release comes up with powerful new features such as AI Output Assistant, Mediation Analysis, Curated Help Designer and many advanced algorithms. IBM SPSS Statistics • offers an easy to use drag and drop interface along with AI Output Assistant to interpret complex statistical output in easy language. • simplifies complex data analysis using advanced statistical techniques that performs data preparation and management, to analysis and reporting. • performs predictive analysis using advanced forecasting procedures to uncover patterns and predict future trends. • creates compelling visual representations to identify trends, derive accurate conclusions and deliver graphs and presentation-ready reports Explore how both individuals and organizations spanning across Industries can simply complex statistical test through an easy to use, accurate ,reliable and secure solution. Use Cases 1. Market Research - Statistical procedures highlighting how to do market research with IBM SPSS 2. Client Acquisition – Emphasizes on how can organizations can acquire more clients and understand consumer behavior 3. Forecasting – Analyze historical sales data, evaluate key trends, predict outcomes relevant to inventory planning 4. Healthcare - Enabling healthcare organizations to improve patient outcomes 5. Government - Empowering Government institutions to take smarter policy decisions 6. Supply Chain - Utilize Statistical Algorithms to make data-driven decisions across procurement, inventory, logistics, and demand planning. Visit here to see what's new in v32 - https://www.ibm.com/products/spss-statistics/whats-new **Average Rating:** 4.2/5.0 **Total Reviews:** 893 **How Do G2 Users Rate IBM SPSS Statistics?** - **Has the product been a good partner in doing business?:** 8.0/10 (Category avg: 8.9/10) - **AI Text Summarization:** 9.7/10 (Category avg: 8.1/10) - **Algorithms:** 7.7/10 (Category avg: 8.5/10) - **AI Text Generation:** 9.7/10 (Category avg: 8.1/10) **Who Is the Company Behind IBM SPSS Statistics?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Company Website:** https://www.ibm.com - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Research Assistant, Assistant Professor - **Top Industries:** Higher Education, Research - **Company Size:** 42% Enterprise, 30% Mid-Market #### What Are IBM SPSS Statistics's Pros and Cons? **Pros:** - Ease of Use (33 reviews) - Statistical Analysis (19 reviews) - Data Management (15 reviews) - User Interface (13 reviews) - Analysis Capabilities (12 reviews) **Cons:** - Expensive (19 reviews) - Poor Visualization (12 reviews) - Learning Curve (11 reviews) - Outdated Interface (7 reviews) - Performance Issues (7 reviews) ### What Do G2 Reviewers Say About IBM SPSS Statistics? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **user-friendly interface** of IBM SPSS Statistics, making complex data analysis accessible and straightforward. - Users praise IBM SPSS Statistics for its **user-friendly interface** , simplifying complex statistical analysis without coding. - Users value the **superior data management and cleaning capabilities** of SPSS, making complex data handling effortless. - Users appreciate the **user-friendly interface** of IBM SPSS Statistics, allowing easy access to complex statistical analyses. - Users value the **easy-to-understand analysis capabilities** of IBM SPSS Statistics, enhancing research and data interpretation significantly. **Cons:** - Users find the **cost excessively high** for the features offered, especially impacting small businesses. - Users find the **poor visualization** in IBM SPSS Statistics hinders usability and makes data interpretation challenging. - Users struggle with a **steep learning curve** and desire improved tutorials and simpler setup processes for SPSS. - Users criticize the **outdated interface** of IBM SPSS Statistics, finding it clunky and complicated for new learners. - Users often experience **performance issues** with IBM SPSS Statistics, particularly when handling large datasets, causing slowdowns. #### What Are Recent G2 Reviews of IBM SPSS Statistics? **"[Efficient, Reliable Statistical Analysis with an Approachable UI in IBM SPSS Statistics](https://www.g2.com/survey_responses/ibm-spss-statistics-review-12829044)"** **Rating:** 4.0/5.0 stars *— Arkajit D.* [Read full review](https://www.g2.com/survey_responses/ibm-spss-statistics-review-12829044) --- **"[Powerful, User-Friendly Platform for Advanced Data Analysis and Reporting](https://www.g2.com/survey_responses/ibm-spss-statistics-review-12803842)"** **Rating:** 4.5/5.0 stars *— Konjengbam M.* [Read full review](https://www.g2.com/survey_responses/ibm-spss-statistics-review-12803842) --- #### What Are G2 Users Discussing About IBM SPSS Statistics? - [What is IBM SPSS Statistics used for?](https://www.g2.com/discussions/ibm-spss-statistics-what-is-ibm-spss-statistics-used-for) - 1 comment - [What are the features of statistical software?](https://www.g2.com/discussions/ibm-spss-statistics-what-are-the-features-of-statistical-software) - 1 comment - [What are the features of SPSS?](https://www.g2.com/discussions/what-are-the-features-of-spss) - 1 comment - [What statistical analysis is included in SPSS?](https://www.g2.com/discussions/what-statistical-analysis-is-included-in-spss) - 2 comments - [What is IBM SPSS Statistics used for?](https://www.g2.com/discussions/what-is-ibm-spss-statistics-used-for) - 1 comment, 1 upvote ### 10. [Minitab Statistical Software](https://www.g2.com/products/minitab-statistical-software/reviews) Minitab Statistical Software is a comprehensive data analysis and statistical solution designed to assist users in exploring data, identifying trends, and making informed, data-driven decisions. This software caters to a diverse audience, ranging from beginners to seasoned analysts, by combining powerful statistical methods with an intuitive interface. This design approach simplifies complex analyses while ensuring depth and accuracy are not compromised. The capabilities of Minitab are extensive, encompassing a variety of statistical techniques such as descriptive statistics, hypothesis testing, regression analysis, ANOVA, time series analysis, design of experiments (DOE), reliability analysis, and predictive analytics. The software's guided workflows and Assistant feature are particularly beneficial, as they help users select appropriate tools, interpret results effectively, and communicate findings in a clear manner. This accessibility makes advanced analytics feasible for users across different skill levels, promoting a culture of data-driven decision-making within organizations. Minitab is available in both desktop and cloud-based versions, providing users with the flexibility to work from various locations while ensuring secure access to their data and analyses. The cloud version enhances collaboration among teams by allowing them to share projects and standardize analyses without the need for local installation. This feature is particularly advantageous for organizations with remote teams or those looking to streamline their analytical processes. The software also includes built-in data preparation tools that facilitate the cleaning and organization of data, which is crucial for accurate analysis. Furthermore, Minitab seamlessly integrates with other Minitab solutions and supports quality improvement methodologies such as Six Sigma. This integration helps organizations enhance their processes, reduce variation, and achieve measurable business outcomes. By providing a robust suite of tools and features, Minitab Statistical Software stands out as a valuable resource for organizations aiming to leverage data for strategic advantage. **Average Rating:** 4.6/5.0 **Total Reviews:** 219 **How Do G2 Users Rate Minitab Statistical Software?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10) - **AI Text Summarization:** 7.4/10 (Category avg: 8.1/10) - **Algorithms:** 8.3/10 (Category avg: 8.5/10) - **AI Text Generation:** 7.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Minitab Statistical Software?** - **Seller:** [Minitab](https://www.g2.com/sellers/minitab-14ca02fe-fdeb-44c4-b0db-904058d0221b) - **Company Website:** https://www.minitab.com - **Year Founded:** 1972 - **HQ Location:** State College, Pennsylvania, United States - **Twitter:** @Minitab (5,017 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/39142/ (732 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Quality Manager - **Top Industries:** Automotive, Manufacturing - **Company Size:** 47% Enterprise, 32% Mid-Market #### What Are Minitab Statistical Software's Pros and Cons? **Pros:** - Ease of Use (62 reviews) - Data Analysis (53 reviews) - Statistical Analysis (38 reviews) - Analysis (32 reviews) - Analysis Capabilities (30 reviews) **Cons:** - Expensive (23 reviews) - Learning Curve (22 reviews) - Complexity (13 reviews) - Not User-Friendly (13 reviews) - Data Management Issues (10 reviews) ### What Do G2 Reviewers Say About Minitab Statistical Software? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Minitab Statistical Software, enhancing their experience in data analysis significantly. - Users value the **ease of use** of Minitab Statistical Software, enhancing their data analysis experience significantly. - Users appreciate the **ease of statistical analysis** in Minitab, finding it invaluable for quality improvement and complex tasks. - Users praise Minitab for its **ease of use and powerful statistical analysis tools** , enhancing their data analysis efforts. - Users commend Minitab's **analysis capabilities** , appreciating its user-friendly interface and extensive range of statistical options. **Cons:** - Users find Minitab's **expensive licensing fees** challenging, particularly for infrequent use or smaller organizations. - Users struggle with the **learning curve** of Minitab, often finding it clunky and requiring better training resources. - Users find Minitab's **complexity** challenging due to hidden variables and clunky data manipulation features. - Users find Minitab's interface **not user-friendly** , with outdated design and confusing menus that hinder usability. - Users face **data management issues** in Minitab, complicating workflows with static source data and limited spreadsheet functionality. #### What Are Recent G2 Reviews of Minitab Statistical Software? **"[Audit-Ready Trend Analysis and Clear Statistical Outputs for APQR](https://www.g2.com/survey_responses/minitab-statistical-software-review-12736010)"** **Rating:** 4.0/5.0 stars *— Ajay K.* [Read full review](https://www.g2.com/survey_responses/minitab-statistical-software-review-12736010) --- **"[Versatile and User-Friendly, Needs Visual Consistency](https://www.g2.com/survey_responses/minitab-statistical-software-review-12629312)"** **Rating:** 4.5/5.0 stars *— David S.* [Read full review](https://www.g2.com/survey_responses/minitab-statistical-software-review-12629312) --- #### What Are G2 Users Discussing About Minitab Statistical Software? - [What improvements would you suggest for Minitab to better meet your data analysis needs?](https://www.g2.com/discussions/what-improvements-would-you-suggest-for-minitab-to-better-meet-your-data-analysis-needs) - [What is Minitab Statistical Software used for?](https://www.g2.com/discussions/what-is-minitab-statistical-software-used-for) - 1 comment - [Is Minitab free for students?](https://www.g2.com/discussions/minitab-statistical-software-is-minitab-free-for-students) - 2 comments - [Is Minitab free for students?](https://www.g2.com/discussions/is-minitab-free-for-students) - [What Minitab 19?](https://www.g2.com/discussions/minitab-statistical-software-what-minitab-19) ### 11. [Pecan](https://www.g2.com/products/pecan/reviews) Pecan AI is a predictive analytics platform that helps business teams understand what’s likely to happen next, while there is still time to act. With Pecan’s Predictive AI Agent, teams can turn business questions into reliable predictions for use cases like customer churn, demand forecasting, and lifetime value, without relying on long, complex data science projects. The platform automatically handles data preparation, feature engineering, modeling, validation, and delivery, and provides transparent, explainable predictions that integrate into tools like Salesforce, HubSpot, Snowflake, and BI systems to drive real business outcomes. **Average Rating:** 4.7/5.0 **Total Reviews:** 36 **How Do G2 Users Rate Pecan?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10) - **Algorithms:** 8.6/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.1/10 (Category avg: 8.1/10) **Who Is the Company Behind Pecan?** - **Seller:** [Pecan.ai](https://www.g2.com/sellers/pecan-ai) - **Company Website:** https://www.pecan.ai - **Year Founded:** 2018 - **HQ Location:** US, Israel - **Twitter:** @pecan_ai (1,135 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/pecan-ai/ (89 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Retail - **Company Size:** 54% Mid-Market, 21% Enterprise #### What Are Pecan's Pros and Cons? **Pros:** - Ease of Use (25 reviews) - Customer Support (18 reviews) - Speed (15 reviews) - Problem Solving (13 reviews) - Implementation Ease (11 reviews) **Cons:** - Learning Difficulty (9 reviews) - Limitations (8 reviews) - Limited Features (8 reviews) - Learning Curve (7 reviews) - Limited Customization (5 reviews) ### What Do G2 Reviewers Say About Pecan? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **ease of use** of Pecan, enabling quick model building without needing deep technical expertise. - Users commend Pecan’s **excellent customer support** , noting prompt assistance and valuable guidance throughout their experience. - Users highlight the **speed of development** with Pecan, transforming model creation from months to weeks effortlessly. - Users commend Pecan for its **effective problem-solving capabilities** , streamlining data to insights with excellent support. - Users highlight the **implementation ease** of Pecan, enabling quick development and deployment of predictive models. **Cons:** - Users find a **learning difficulty** with Pecan, especially in understanding data structures and SQL requirements. - Users desire **greater control over model selection** , wishing for customization options and specific optimization metrics. - Users feel a lack of **customization options** , wishing for deeper control over model selection and optimization metrics. - Users experience a **steep learning curve** initially, requiring time to understand data structure and SQL for effective use. - Users desire more **customization options** for models and optimization metrics, limiting flexibility for specific use cases. #### What Are Recent G2 Reviews of Pecan? **"[AI Chatbox Integration Makes Feature Development Easy to Explore and Iterate](https://www.g2.com/survey_responses/pecan-review-12878894)"** **Rating:** 4.0/5.0 stars *— Yuqi L.* [Read full review](https://www.g2.com/survey_responses/pecan-review-12878894) --- **"[Intuitive Platform with Exceptional Support](https://www.g2.com/survey_responses/pecan-review-12654479)"** **Rating:** 5.0/5.0 stars *— J G.* [Read full review](https://www.g2.com/survey_responses/pecan-review-12654479) --- ### 12. [APEX](https://www.g2.com/products/leandna-apex/reviews) APEX by LeanDNA is the factory-focused platform for AI-powered expert execution to establish command of supply planning and materials management. It powers optimized decisions and operations through materials visibility, predictive insights, supplier collaboration, and recommended actions. APEX synchronizes people, materials, and sites with data centralization, AI, and machine learning to analyze supply conditions, predict risks, connect across suppliers, and outline the best actions to protect and optimize production. With core capabilities spanning data visibility and AI, supply insights, procurement management, and inventory optimization, APEX transforms fragmented data into supply chain intelligence that drives confident, precise execution. Teams eliminate operational guesswork, respond faster to disruption, and improve performance with smarter prioritization and optimized supply strategies. **Average Rating:** 4.5/5.0 **Total Reviews:** 128 **How Do G2 Users Rate APEX?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10) - **AI Text Summarization:** 6.3/10 (Category avg: 8.1/10) - **Algorithms:** 7.6/10 (Category avg: 8.5/10) - **AI Text Generation:** 6.2/10 (Category avg: 8.1/10) **Who Is the Company Behind APEX?** - **Seller:** [LeanDNA](https://www.g2.com/sellers/leandna) - **Company Website:** https://www.leandna.com - **Year Founded:** 2014 - **HQ Location:** Austin, Texas, United States - **LinkedIn® Page:** https://www.linkedin.com/company/leandna/ (91 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Approvisionneur - **Top Industries:** Manufacturing, Aviation & Aerospace - **Company Size:** 51% Mid-Market, 38% Enterprise #### What Are APEX's Pros and Cons? **Pros:** - Ease of Use (31 reviews) - Customer Support (21 reviews) - Inventory Management (20 reviews) - Features (15 reviews) - Time-saving (13 reviews) **Cons:** - Complex Usability (10 reviews) - Limited Customization (6 reviews) - Missing Features (6 reviews) - Data Inaccuracy (5 reviews) - Learning Curve (5 reviews) ### What Do G2 Reviewers Say About APEX? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** with APEX, praising its intuitive interface and excellent support for effective analysis. - Users commend the **fast and responsive customer support** from APEX, enhancing their overall experience and collaboration. - Users value the **comprehensive inventory management** features of APEX, enabling effective supply chain oversight and risk anticipation. - Users value the **visibility and structure** provided by LeanDNA, enhancing supplier communication and performance management. - Users commend APEX for its **time-saving capabilities** , streamlining workflows and enhancing productivity significantly. **Cons:** - Users find the **complex usability** of APEX frustrating, particularly with dashboard editing and report explanations. - Users feel frustrated with the **limited customization** options in APEX, impacting their overall experience and flexibility. - Users find the **missing filtering options** and limited supplier performance adjustments frustrating, impacting analysis and decision-making. - Users observe **data inaccuracy** with APEX, indicating it still requires improvement and better real-time updates. - Users find the **learning curve steep** , but support helps resolve confusion and improves understanding over time. #### What Are Recent G2 Reviews of APEX? **"[Plan based on data? With LeanDNA, it's easy!](https://www.g2.com/survey_responses/apex-review-11331720)"** **Rating:** 4.5/5.0 stars *— Luiz G.* [Read full review](https://www.g2.com/survey_responses/apex-review-11331720) --- **"[Insightful Dashboard and Real-Time Updates, But Needs Better Warehouse KPIs](https://www.g2.com/survey_responses/apex-review-11848758)"** **Rating:** 5.0/5.0 stars *— Michael T.* [Read full review](https://www.g2.com/survey_responses/apex-review-11848758) --- ### 13. [Qlik Sense](https://www.g2.com/products/qlik-sense/reviews) Qlik Sense empowers people to make better data-driven decisions and take action. The solution provides augmented analytics for every business need from visualization and dashboards to natural language analytics, custom and embedded analytics, reporting and alerting. Our unique associative technology enhances human intuition with AI-powered insights, offering unmatched capabilities for combining data and exploring information. It indexes the associations in your data, and exposes related and unrelated values as you click, revealing hidden insights that would be missed by query-based tools. And it performs calculations as fast as you can think. Qlik Sense helps users move from passive to active analytics for real-time collaboration and action. And you get robust data integration, application automation and the convenience of SaaS with hybrid multi-cloud capabilities. See why we’ve been named a Gartner Magic Quadrant Leader for Analytics and BI platforms for 11 years in a row. Visit us at [https://www.qlik.com/us/](- https://www.qlik.com/us/products/qlik-sense?utm_medium=referral&utm_source=G2&utm_team=DIG&utm_term=QlikSense&utm_mpt_id=CKMP5D) **Average Rating:** 4.4/5.0 **Total Reviews:** 763 **How Do G2 Users Rate Qlik Sense?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10) - **AI Text Summarization:** 8.3/10 (Category avg: 8.1/10) - **Algorithms:** 8.3/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.5/10 (Category avg: 8.1/10) **Who Is the Company Behind Qlik Sense?** - **Seller:** [Qlik](https://www.g2.com/sellers/qlik) - **Year Founded:** 1993 - **HQ Location:** Radnor, PA - **Twitter:** @qlik (64,130 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,551 employees on LinkedIn®) - **Phone:** 1 (888) 994-9854 **Who Uses This Product?** - **Who Uses This:** Consultant, Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 41% Enterprise, 41% Mid-Market #### What Are Qlik Sense's Pros and Cons? **Pros:** - Ease of Use (55 reviews) - Data Visualization (31 reviews) - Analytics (28 reviews) - Insights Discovery (24 reviews) - Features (22 reviews) **Cons:** - Limited Features (17 reviews) - Missing Features (16 reviews) - Expensive (14 reviews) - Data Management (13 reviews) - Learning Curve (13 reviews) ### What Do G2 Reviewers Say About Qlik Sense? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** in Qlik Sense, making data visualization and integration effortlessly efficient. - Users appreciate the **robust data visualization capabilities** of Qlik Sense, enabling them to create complex visuals effortlessly. - Users appreciate the **quick creation and deployment of analytics applications** with Qlik Sense, making reporting seamless and efficient. - Users value the **robust data visualization capabilities** of Qlik Sense, enhancing insights and supporting effective decision-making. - Users value the **robust tools and versatility** of Qlik Sense for efficient data integration and insightful analytics. **Cons:** - Users find the **limited features** of Qlik Sense hinder their ability to create diverse visualizations effectively. - Users miss the **ability to add personal objects** in Qlik Sense SaaS, as compared to the on-premise version. - Users find Qlik Sense **very expensive** , making it a less accessible option for some businesses. - Users note the **limited automation in data management** and desire better organization for enhanced visualization capabilities. - Users find the **learning curve steep** due to the complexity of functions and integration challenges. #### What Are Recent G2 Reviews of Qlik Sense? **"[Intuitive Data Exploration and Dashboards with Qlik Sense’s Associative Model](https://www.g2.com/survey_responses/qlik-sense-review-12963425)"** **Rating:** 4.5/5.0 stars *— Suman K.* [Read full review](https://www.g2.com/survey_responses/qlik-sense-review-12963425) --- **"[Visually Stunning, Excel-Like Ease on Web](https://www.g2.com/survey_responses/qlik-sense-review-12727600)"** **Rating:** 4.0/5.0 stars *— Adnan J.* [Read full review](https://www.g2.com/survey_responses/qlik-sense-review-12727600) --- #### What Are G2 Users Discussing About Qlik Sense? - [What is Qlik Sense used for?](https://www.g2.com/discussions/what-is-qlik-sense-used-for) - [What is QlikView used for?](https://www.g2.com/discussions/what-is-qlikview-used-for) - [What is the difference between QlikView and qlik sense?](https://www.g2.com/discussions/what-is-the-difference-between-qlikview-and-qlik-sense) - 1 comment - [Is qlik sense good?](https://www.g2.com/discussions/is-qlik-sense-good) - 1 comment - [What can qlik sense do?](https://www.g2.com/discussions/what-can-qlik-sense-do) - 1 comment ### 14. [Amazon Forecast](https://www.g2.com/products/amazon-forecast/reviews) Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts. **Average Rating:** 4.3/5.0 **Total Reviews:** 102 **How Do G2 Users Rate Amazon Forecast?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **AI Text Summarization:** 8.8/10 (Category avg: 8.1/10) - **Algorithms:** 8.7/10 (Category avg: 8.5/10) - **AI Text Generation:** 9.6/10 (Category avg: 8.1/10) **Who Is the Company Behind Amazon Forecast?** - **Seller:** [Amazon Web Services (AWS)](https://www.g2.com/sellers/amazon-web-services-aws-3e93cc28-2e9b-4961-b258-c6ce0feec7dd) - **Year Founded:** 2006 - **HQ Location:** Seattle, WA - **Twitter:** @awscloud (2,232,483 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/amazon-web-services/ (147,094 employees on LinkedIn®) - **Ownership:** NASDAQ: AMZN **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 49% Small-Business, 37% Mid-Market #### What Are Amazon Forecast's Pros and Cons? **Pros:** - Ease of Use (14 reviews) - Forecasting Accuracy (13 reviews) - Accuracy (11 reviews) - Machine Learning (10 reviews) - Quality (7 reviews) **Cons:** - Expensive (11 reviews) - Complexity (9 reviews) - Learning Curve (6 reviews) - Cost Issues (5 reviews) - Large Dataset Handling (5 reviews) ### What Do G2 Reviewers Say About Amazon Forecast? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Amazon Forecast, quickly generating accurate predictions without needing extensive expertise. - Users appreciate the **accurate time-series predictions** provided by Amazon Forecast, enhancing demand planning and decision-making. - Users value the **accuracy of predictions** by Amazon Forecast, enabling effective demand planning without deep ML knowledge. - Users appreciate the **ease of use for machine learning** in Amazon Forecast, facilitating accurate predictions without deep expertise. - Users appreciate the **high accuracy** of Amazon Forecast, which utilizes advanced ML technology for reliable predictions. **Cons:** - Users find that the **cost can become excessive** with frequent use of Amazon Forecast for large datasets. - Users find the **setup complexity** and cost concerns of Amazon Forecast challenging, especially with large datasets. - Users experience a steep **learning curve** with Amazon Forecast, particularly around data schemas and model training. - Users find **cost issues** with Amazon Forecast, as expenses can rise unexpectedly for larger datasets and frequent retraining. - Users find that the **costs escalate significantly** when handling large datasets with Amazon Forecast, requiring careful budget management. #### What Are Recent G2 Reviews of Amazon Forecast? **"[Accurate ML Forecasting Without the Expertise—Seamless AWS Integration](https://www.g2.com/survey_responses/amazon-forecast-review-12255988)"** **Rating:** 4.5/5.0 stars *— Mahmoud H.* [Read full review](https://www.g2.com/survey_responses/amazon-forecast-review-12255988) --- **"[Amazon Forecast: Game-Changing Sales Predictor for Training Pros](https://www.g2.com/survey_responses/amazon-forecast-review-12216415)"** **Rating:** 4.5/5.0 stars *— Dhanesh V.* [Read full review](https://www.g2.com/survey_responses/amazon-forecast-review-12216415) --- ### 15. [SAP Analytics Cloud](https://www.g2.com/products/sap-analytics-cloud/reviews) With the SAP Analytics Cloud solution, you can bring together analytics and planning with unique integration to SAP applications and smooth access to heterogenous data sources. As the analytics and planning solution within SAP Business Technology Platform, SAP Analytics Cloud supports trusted insights and integrated planning processes enterprise-wide to help you make decisions without doubt. **Average Rating:** 4.2/5.0 **Total Reviews:** 750 **How Do G2 Users Rate SAP Analytics Cloud?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **AI Text Summarization:** 8.9/10 (Category avg: 8.1/10) - **Algorithms:** 8.0/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.7/10 (Category avg: 8.1/10) **Who Is the Company Behind SAP Analytics Cloud?** - **Seller:** [SAP](https://www.g2.com/sellers/sap) - **Company Website:** https://www.sap.com/ - **Year Founded:** 1972 - **HQ Location:** Walldorf - **Twitter:** @SAP (297,052 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,955 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Senior Consultant, Consultant - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 49% Enterprise, 28% Mid-Market #### What Are SAP Analytics Cloud's Pros and Cons? **Pros:** - Ease of Use (68 reviews) - Data Analysis (52 reviews) - Data Visualization (51 reviews) - Easy Integrations (40 reviews) - Analytics (39 reviews) **Cons:** - Slow Performance (36 reviews) - Learning Curve (35 reviews) - Learning Difficulty (33 reviews) - Performance Issues (32 reviews) - Large Dataset Handling (30 reviews) ### What Do G2 Reviewers Say About SAP Analytics Cloud? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** in SAP Analytics Cloud, enabling quick data understanding and efficient reporting. - Users value the **wide range of data connectivity options** in SAP Analytics Cloud, facilitating seamless integrations and enhanced analytics. - Users value the **interactive dashboards** of SAP Analytics Cloud, making data visualization intuitive and accessible for all skill levels. - Users value the **easy integrations** of SAP Analytics Cloud, allowing seamless connections with tools like SAP S/4HANA for efficient data analysis. - Users value the **wide range of data connectivity options** in SAP Analytics Cloud that enhance their decision-making capabilities. **Cons:** - Users report **slow performance** with large datasets in SAP Analytics Cloud, causing frustration during data analysis and modeling. - Users face a **steep learning curve** with SAP Analytics Cloud, especially those unfamiliar with SAP products. - Users find the **learning difficulty** significant, particularly for those unfamiliar with SAP products, complicating initial usage. - Users experience **performance issues** when analyzing complex datasets, causing slow dashboards and lag in updates. - Users face **performance issues** with SAP Analytics Cloud when handling large datasets, affecting efficiency and speed. #### What Are Recent G2 Reviews of SAP Analytics Cloud? **"[SAP Analytics Cloud Clean Dashboards and Powerful Real Time Analytics in One Place](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12817514)"** **Rating:** 5.0/5.0 stars *— Muzammil M.* [Read full review](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12817514) --- **"[Reliable & User-Friendly Analytics Tool](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12885706)"** **Rating:** 4.0/5.0 stars *— sagar i.* [Read full review](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12885706) --- #### What Are G2 Users Discussing About SAP Analytics Cloud? - [What is SAP Analytics Cloud used for?](https://www.g2.com/discussions/what-is-sap-analytics-cloud-used-for) - 2 comments - [What is SAP Lumira used for?](https://www.g2.com/discussions/sap-lumira-what-is-sap-lumira-used-for) - 1 comment, 1 upvote - [What is SAP Analytics Hub used for?](https://www.g2.com/discussions/what-is-sap-analytics-hub-used-for) - 1 comment - [How does SAP Analytics calculate average cloud?](https://www.g2.com/discussions/how-does-sap-analytics-calculate-average-cloud) - [What is predictive analytics software?](https://www.g2.com/discussions/sap-predictive-analytics-what-is-predictive-analytics-software) - 1 comment ### 16. [Qlik Predict](https://www.g2.com/products/qlik-predict/reviews) Qlik AutoML (automated machine learning) brings AI-generated machine learning models and predictive analytics directly to your organization’s larger community of analytics users and teams, in a simple user experience focused on augmenting their intuition through machine intelligence. With AutoML, you can easily generate machine learning models, make predictions, and plan decisions – all within an intuitive, code-free user interface. Machine learning (ML) is a branch of artificial intelligence (AI) focused on the process of recognizing patterns in historical data to predict outcomes in the future. ML uses historically observed data as an input, applies a mathematical process against that data, and creates an output called a machine learning model based on patterns in historical data. This model can then be used to make future predictions and test scenarios. **Average Rating:** 4.4/5.0 **Total Reviews:** 78 **How Do G2 Users Rate Qlik Predict?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **AI Text Summarization:** 6.7/10 (Category avg: 8.1/10) - **Algorithms:** 8.2/10 (Category avg: 8.5/10) - **AI Text Generation:** 6.7/10 (Category avg: 8.1/10) **Who Is the Company Behind Qlik Predict?** - **Seller:** [Qlik](https://www.g2.com/sellers/qlik) - **Year Founded:** 1993 - **HQ Location:** Radnor, PA - **Twitter:** @qlik (64,130 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10162/ (4,551 employees on LinkedIn®) - **Phone:** 1 (888) 994-9854 **Who Uses This Product?** - **Who Uses This:** Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 38% Enterprise, 31% Small-Business #### What Are Qlik Predict's Pros and Cons? **Pros:** - Automation (5 reviews) - Ease of Use (5 reviews) - AI Integration (4 reviews) - Machine Learning (4 reviews) - AI Capabilities (3 reviews) **Cons:** - Limited Customization (4 reviews) - Deployment Issues (2 reviews) - Lacking Features (2 reviews) - Required Knowledge (2 reviews) - Tool Limitations (2 reviews) ### What Do G2 Reviewers Say About Qlik Predict? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **automation features** of Qlik Predict, enabling efficient and intuitive model building without technical expertise. - Users appreciate the **ease of use** with Qlik Predict, enjoying a friendly interface and no-code implementation for projects. - Users appreciate the **intuitive AI integration** of Qlik Predict, enabling quick and effortless predictive model development. - Users commend the **intuitive machine learning interface** of Qlik Predict, enabling quick model creation without extensive coding skills. - Users value the **user-friendly AI capabilities** of Qlik Predict, enabling seamless predictive analytics without coding skills. **Cons:** - Users find the **limited customization** options of Qlik Predict restricting, particularly for advanced model development needs. - Users experience **deployment issues** due to limited flexibility and integration with external workflows beyond Qlik Sense. - Users note a **lack of customization features** in Qlik Predict, limiting flexibility and scalability for advanced tasks. - Users find the **required knowledge of data science** an obstacle to effectively utilizing Qlik Predict's automation features. - Users find the **tool limitations** of Qlik Predict restrict flexibility and control, affecting customization for advanced users. #### What Are Recent G2 Reviews of Qlik Predict? **"[Qlik AutoML](https://www.g2.com/survey_responses/qlik-predict-review-11001365)"** **Rating:** 4.0/5.0 stars *— Anju P.* [Read full review](https://www.g2.com/survey_responses/qlik-predict-review-11001365) --- **"[Describe your experience in one short sentence.](https://www.g2.com/survey_responses/qlik-predict-review-11007278)"** **Rating:** 5.0/5.0 stars *— Cristian C.* [Read full review](https://www.g2.com/survey_responses/qlik-predict-review-11007278) --- #### What Are G2 Users Discussing About Qlik Predict? - [How does the NZXT Kraken work?](https://www.g2.com/discussions/how-does-the-nzxt-kraken-work) - [Is the NZXT Kraken water cooling?](https://www.g2.com/discussions/is-the-nzxt-kraken-water-cooling) - [Which NZXT Kraken is the best?](https://www.g2.com/discussions/which-nzxt-kraken-is-the-best) - [Does the NZXT Kraken come with fans?](https://www.g2.com/discussions/does-the-nzxt-kraken-come-with-fans) ### 17. [Salesloft](https://www.g2.com/products/salesloft/reviews) Clari + Salesloft is a category-transforming AI company architecting the future of revenue. By building the world’s first Predictive Revenue System, we help organizations move beyond fragmented applications and systems of record to a model that continuously drives and adapts revenue execution. Our platform captures deal data signals, and uses tailor-built AI to create the right context and drive action across sales teams. Instead of disconnected insights and siloed workflows, sales teams operate with shared understanding, faster decisions, and execution that stays aligned to the business. Trusted by thousands of enterprises including Adobe, 3M, IBM, and Zoom, Clari + Salesloft powers the forecast, surfaces pipeline risk, and drives proactive execution—returning thousands of hours to the field and enabling predictable, scalable growth. **Average Rating:** 4.5/5.0 **Total Reviews:** 4,152 **How Do G2 Users Rate Salesloft?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) **Who Is the Company Behind Salesloft?** - **Seller:** [Salesloft](https://www.g2.com/sellers/salesloft) - **Company Website:** https://salesloft.com - **Year Founded:** 2011 - **HQ Location:** Atlanta, GA - **Twitter:** @Salesloft (18,437 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2296178/ (1,097 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Account Executive, Sales Development Representative - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 56% Mid-Market, 23% Small-Business #### What Are Salesloft's Pros and Cons? **Pros:** - Ease of Use (569 reviews) - Features (342 reviews) - Helpful (338 reviews) - Automation (303 reviews) - Time-saving (267 reviews) **Cons:** - Missing Features (239 reviews) - Call Issues (164 reviews) - Integration Issues (134 reviews) - Limitations (123 reviews) - Learning Curve (116 reviews) ### What Do G2 Reviewers Say About Salesloft? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Salesloft, finding setup and daily activities efficient and user-friendly. - Users love the **automation and integration features** of Salesloft, boosting productivity and enhancing sales engagement. - Users value the **helpful call tracking and cadence creation** features, enhancing their productivity and organization in outreach efforts. - Users value the **automation capabilities** of Salesloft, making call tracking and creating cadences effortless and efficient. - Users love the **time-saving features** of Salesloft, streamlining outreach and making prospecting more efficient. **Cons:** - Users find **missing features** like domain rotation and video integration limiting Salesloft's potential for email outreach. - Users experience **call issues** with Salesloft, including misalignment between app and website, complicating workflows significantly. - Users frequently experience **integration issues** with Salesloft, leading to frustration and inefficiencies in their sales processes. - Users find that Salesloft has **fewer features** than competitors, creating challenges in functionality and organization. - Users experience a **steep learning curve** with Salesloft, making it challenging to master its robust features. #### What Are Recent G2 Reviews of Salesloft? **"[Easy-to-Use Cadences and Automation That Boost SDR Efficiency](https://www.g2.com/survey_responses/salesloft-review-12625459)"** **Rating:** 4.5/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/salesloft-review-12625459) --- **"[Boosts Sales Execution with Structured Cadences and CRM-Integrated Insights](https://www.g2.com/survey_responses/salesloft-review-12628860)"** **Rating:** 4.0/5.0 stars *— Harrison P.* [Read full review](https://www.g2.com/survey_responses/salesloft-review-12628860) --- #### What Are G2 Users Discussing About Salesloft? - [What innovative strategies are sales teams adopting with Salesloft to enhance customer engagement and sales effectiveness?](https://www.g2.com/discussions/what-innovative-strategies-are-sales-teams-adopting-with-salesloft-to-enhance-customer-engagement-and-sales-effectiveness) - [How is Salesloft being used to enhance operational efficiency and user experience in its specific field?](https://www.g2.com/discussions/how-is-salesloft-being-used-to-enhance-operational-efficiency-and-user-experience-in-its-specific-field) - 1 comment - [What is Salesloft used for?](https://www.g2.com/discussions/salesloft-what-is-salesloft-used-for) - 1 comment - [How much does SalesLoft cost?](https://www.g2.com/discussions/how-much-does-salesloft-cost) - [Is SalesLoft a CRM?](https://www.g2.com/discussions/is-salesloft-a-crm) - 6 comments, 1 upvote ### 18. [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) SAP HANA Cloud is a modern database-as-a-service (DBaaS) powering the next generation of intelligent data applications. SAP HANA Cloud offers a competitive edge by incorporating advanced machine learning and predictive tools grounded in modern data science. Its powerful in-memory performance safeguards efficient data processing. By securely storing vast amounts of data with its integrated multitier storage and handling various types on a single copy in its native multi-model database, SAP HANA Cloud simplifies data management and connects to other data sources. The seamless integration of these capabilities in a reliable, unified foundation makes it easier for developers to build high-demand intelligent data apps. **Average Rating:** 4.3/5.0 **Total Reviews:** 521 **How Do G2 Users Rate SAP HANA Cloud?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10) - **AI Text Summarization:** 7.2/10 (Category avg: 8.1/10) - **Algorithms:** 8.8/10 (Category avg: 8.5/10) - **AI Text Generation:** 6.9/10 (Category avg: 8.1/10) **Who Is the Company Behind SAP HANA Cloud?** - **Seller:** [SAP](https://www.g2.com/sellers/sap) - **Company Website:** https://www.sap.com/ - **Year Founded:** 1972 - **HQ Location:** Walldorf - **Twitter:** @SAP (297,052 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,955 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Consultant, SAP Consultant - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 61% Enterprise, 26% Mid-Market #### What Are SAP HANA Cloud's Pros and Cons? **Pros:** - Ease of Use (53 reviews) - Easy Integrations (39 reviews) - Integrations (38 reviews) - Speed (38 reviews) - Scalability (35 reviews) **Cons:** - Complexity (32 reviews) - Expensive (30 reviews) - Learning Curve (29 reviews) - Difficult Learning (27 reviews) - Complex Setup (20 reviews) ### What Do G2 Reviewers Say About SAP HANA Cloud? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of SAP HANA Cloud, benefiting from seamless integration and powerful real-time analytics. - Users find **easy integrations** with SAP HANA Cloud enhance data management and reporting efficiency in their workflows. - Users value the **seamless integration capabilities** of SAP HANA Cloud, enhancing data management and operational efficiency. - Users admire the **exceptional real-time performance** of SAP HANA Cloud, enhancing usability and driving substantial business value. - Users appreciate the **scalability** of SAP HANA Cloud, enabling them to efficiently handle large and complex data sets. **Cons:** - Users find the **complexity** of SAP HANA Cloud challenging, especially regarding setup, configuration, and the steep learning curve. - Users find the **cost to be high** , especially if the workload is not managed effectively. - Users note a **steep learning curve** for new SAP HANA Cloud users, particularly those lacking prior SAP experience. - Users face a **difficult learning curve** in SAP HANA Cloud, especially those without prior SAP experience, affecting usability. - Users face challenges with the **complex setup** of SAP HANA Cloud, impacting ease of use and implementation. #### What Are Recent G2 Reviews of SAP HANA Cloud? **"[Blazing-Fast In-Memory Performance with Seamless SAP Integration](https://www.g2.com/survey_responses/sap-hana-cloud-review-12419032)"** **Rating:** 4.5/5.0 stars *— Dharamveer p.* [Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12419032) --- **"[Efficient Transactions, But Time-Intensive Setup](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922)"** **Rating:** 4.0/5.0 stars *— Sumeet R.* [Read full review](https://www.g2.com/survey_responses/sap-hana-cloud-review-12983922) --- ### 19. [GoodData.AI](https://www.g2.com/products/gooddata-ai/reviews) GoodData is the full-stack, AI-native decision intelligence platform that helps businesses turn data into actionable, enterprise-grade insights. Designed for governed, scalable analytics, GoodData enables organizations to build, operationalize, and embed decisions, workflows, and AI agents directly within products and business workflows. The platform combines Analytics as Code, a governed semantic and metrics layer, APIs, SDKs, and open AI interoperability to help teams create composable analytics and AI experiences across products, workflows, and customer environments. From embedded analytics and dashboards to assistants, AI workflows, and interoperable agents, GoodData gives teams the foundation to move from insight to action with governance, performance, and deployment flexibility built in. Today, GoodData serves over 140,000 companies and 3.2 million users worldwide. **Average Rating:** 4.3/5.0 **Total Reviews:** 598 **How Do G2 Users Rate GoodData.AI?** - **Has the product been a good partner in doing business?:** 8.4/10 (Category avg: 8.9/10) - **Algorithms:** 6.7/10 (Category avg: 8.5/10) **Who Is the Company Behind GoodData.AI?** - **Seller:** [GoodData.AI](https://www.g2.com/sellers/gooddata-ai) - **Company Website:** https://www.gooddata.ai/ - **Year Founded:** 2007 - **HQ Location:** San Francisco, CA - **Twitter:** @gooddata (1 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/202760/ (281 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Product Manager - **Top Industries:** Computer Software, Consumer Services - **Company Size:** 44% Mid-Market, 40% Small-Business #### What Are GoodData.AI's Pros and Cons? **Pros:** - Ease of Use (51 reviews) - Data Visualization (34 reviews) - Integrations (33 reviews) - Intuitive (29 reviews) - Easy Integrations (27 reviews) **Cons:** - Learning Curve (27 reviews) - Missing Features (19 reviews) - Learning Difficulty (18 reviews) - Complexity (12 reviews) - Limited Customization (12 reviews) ### What Do G2 Reviewers Say About GoodData.AI? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of GoodData.AI, facilitating quick report creation and seamless integration with data systems. - Users value the **clean and customizable dashboards** of GoodData.AI, facilitating clear data presentation for all users. - Users appreciate the **seamless integrations** of GoodData.AI, enabling quick deployment and effective data analysis. - Users find GoodData.AI to be **easy and intuitive** , enabling quick familiarity and seamless data visualization creation. - Users value the **easy integrations** of GoodData.AI, enabling swift data connection and streamlined analysis processes. **Cons:** - Users experience a **steep learning curve** with GoodData, making quick adaptations to business needs challenging. - Users express frustration over **missing features** , especially in documentation and graphical reporting capabilities compared to competitors. - Users find the **learning difficulty** of GoodData.AI challenging, particularly with database connections and data model complexities. - Users find the **complexity** of GoodData.AI challenging, especially during initial setup and data modeling tasks. - Users find the **limited customization options** of GoodData.AI frustrating, impacting their ability to tailor reports effectively. #### What Are Recent G2 Reviews of GoodData.AI? **"[Mosaic & Semantic Layer Unite Our Data, Plus Helpful AI Dashboard Suggestions](https://www.g2.com/survey_responses/gooddata-ai-review-12912613)"** **Rating:** 5.0/5.0 stars *— Jeff P.* [Read full review](https://www.g2.com/survey_responses/gooddata-ai-review-12912613) --- **"[Embedded Dashboards and Consistent Metrics That Cut Support Tickets](https://www.g2.com/survey_responses/gooddata-ai-review-13032302)"** **Rating:** 5.0/5.0 stars *— Yash G.* [Read full review](https://www.g2.com/survey_responses/gooddata-ai-review-13032302) --- ### 20. [Plutoshift](https://www.g2.com/products/plutoshift-plutoshift/reviews) Plutoshift is pioneering a new category of data platform, purpose built for enterprises that provide physical products and services. The Plutoshift Operational Data Platform (ODP) applies AI and automated machine learning to unify and align the myriad of data sources into a shared system of record, enabling a new caliber of “always-on” performance monitoring and predictive analysis. For the first time, front line and remote workers can utilize current and trusted data all the way out to the operational front lines of the business, dramatically improving the speed and reliability of critical decision making. **Average Rating:** 4.8/5.0 **Total Reviews:** 20 **How Do G2 Users Rate Plutoshift?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **Algorithms:** 9.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Plutoshift?** - **Seller:** [Plutoshift](https://www.g2.com/sellers/plutoshift) - **Year Founded:** 2024 - **HQ Location:** Palo Alto, California - **Twitter:** @plutoshift (229 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/plutoshift-ai/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Computer Software - **Company Size:** 65% Mid-Market, 25% Enterprise #### What Are Plutoshift's Pros and Cons? **Pros:** - Data Analysis (10 reviews) - Features (8 reviews) - Support Efficiency (8 reviews) - Analysis Capabilities (6 reviews) - Analytics (6 reviews) **Cons:** - Complex Usability (6 reviews) - Complexity (3 reviews) - Integration Issues (3 reviews) - Learning Curve (3 reviews) - Difficult Setup (2 reviews) ### What Do G2 Reviewers Say About Plutoshift? *AI-generated summary from verified user reviews* **Pros:** - Users value the **effective data analysis** of Plutoshift, enabling informed decision-making through simplified insights and automation. - Users value the **real-time actionable insights** provided by Plutoshift, enhancing decision-making through advanced analytics. - Users value the **responsive support team** of Plutoshift, enhancing overall efficiency and assistance with complex data management. - Users value the **robust analysis capabilities** of Plutoshift, enabling effective decision-making with real-time insights. - Users value the **real-time actionable data** that Plutoshift provides, greatly enhancing decision-making processes. **Cons:** - Users find Plutoshift's **complex usability** challenging, especially for those lacking technical skills and requiring quick support. - Users find the **complex setup process** of Plutoshift challenging, especially those unfamiliar with the system. - Users find that **integration issues** lead to time-consuming setups and challenges with legacy systems. - Users find the **learning curve steep** with Plutoshift, especially for those lacking technical expertise. - Users find the **difficult setup** process time-consuming and challenging, especially for those less tech-savvy. #### What Are Recent G2 Reviews of Plutoshift? **"[Simplifies Resource Management with Easy Setup](https://www.g2.com/survey_responses/plutoshift-review-12393684)"** **Rating:** 4.0/5.0 stars *— Jeni J.* [Read full review](https://www.g2.com/survey_responses/plutoshift-review-12393684) --- **"[Committed to Managing Sites Operations.](https://www.g2.com/survey_responses/plutoshift-review-10796025)"** **Rating:** 4.5/5.0 stars *— Davide P.* [Read full review](https://www.g2.com/survey_responses/plutoshift-review-10796025) --- ### 21. [IBM SPSS Modeler](https://www.g2.com/products/ibm-spss-modeler/reviews) The IBM SPSS Modeler is a leading, visual data science and machine learning solution. It helps enterprises accelerate time to value and desired outcome by speeding the operational tasks for data scientists. Leading organizations worldwide rely on IBM for data discovery, predictive analytics, model management and deployment, and machine learning to monetize data assets. The IBM SPSS Modeler empowers organizations to tap data assets and modern applications with complete, out-of-box algorithms and models, suited for hybrid, multi-cloud environments with robust governance and security posture. • Take advantage of open source based innovation including R or Python • Empower data scientists of all skills – programmatic and visual • Exploit multi-cloud approach - on-prem, public or private clouds • Start small and scale to enterprise-wide, governed approach **Average Rating:** 4.0/5.0 **Total Reviews:** 128 **How Do G2 Users Rate IBM SPSS Modeler?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **AI Text Summarization:** 7.3/10 (Category avg: 8.1/10) - **Algorithms:** 8.0/10 (Category avg: 8.5/10) - **AI Text Generation:** 7.3/10 (Category avg: 8.1/10) **Who Is the Company Behind IBM SPSS Modeler?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) - **Ownership:** SWX:IBM **Who Uses This Product?** - **Top Industries:** Higher Education, Education Management - **Company Size:** 53% Enterprise, 24% Mid-Market #### What Are IBM SPSS Modeler's Pros and Cons? **Pros:** - Analysis Capabilities (1 reviews) - Analytics (1 reviews) - Data Access (1 reviews) - Data Management (1 reviews) - Data Visualization (1 reviews) **Cons:** - Expensive (1 reviews) - Expensive Licensing (1 reviews) ### What Do G2 Reviewers Say About IBM SPSS Modeler? *AI-generated summary from verified user reviews* **Pros:** - Users value the **robust analytical modeling capabilities** of IBM SPSS Modeler for efficient data manipulation and integration. - Users appreciate the **seamless data connectivity** in IBM SPSS Modeler, enhancing their data manipulation and analysis experience. - Users appreciate the **seamless data access** in IBM SPSS Modeler, enhancing their workflow and data manipulation efficiency. - Users value the **seamless data manipulation** capabilities of IBM SPSS Modeler for efficient analytics and integration. - Users value the **seamless data visualization** capabilities of IBM SPSS Modeler, enhancing their data manipulation experience. **Cons:** - Users find the **licensing costs to be very high** , making the product expensive for each user. - Users find the **licensing costs to be excessively high** , making the product less accessible for many. #### What Are Recent G2 Reviews of IBM SPSS Modeler? **"[Seamless Data Integration and Powerful Analytics](https://www.g2.com/survey_responses/ibm-spss-modeler-review-12103509)"** **Rating:** 4.5/5.0 stars *— Verified User in Banking* [Read full review](https://www.g2.com/survey_responses/ibm-spss-modeler-review-12103509) --- **"[The best application for market research](https://www.g2.com/survey_responses/ibm-spss-modeler-review-8095256)"** **Rating:** 4.0/5.0 stars *— Basil E.* [Read full review](https://www.g2.com/survey_responses/ibm-spss-modeler-review-8095256) --- #### What Are G2 Users Discussing About IBM SPSS Modeler? - [What is IBM SPSS Modeler used for?](https://www.g2.com/discussions/ibm-spss-modeler-what-is-ibm-spss-modeler-used-for) - [What are the features of SPSS?](https://www.g2.com/discussions/ibm-spss-modeler-what-are-the-features-of-spss) - 1 comment - [What is IBM SPSS Modeler used for?](https://www.g2.com/discussions/what-is-ibm-spss-modeler-used-for) - 1 comment - [Is IBM SPSS Modeler free?](https://www.g2.com/discussions/is-ibm-spss-modeler-free) - 1 comment - [What is the difference between SPSS Statistics and Modeler?](https://www.g2.com/discussions/what-is-the-difference-between-spss-statistics-and-modeler) ### 22. [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) Altair AI Studio (formerly RapidMiner Studio) is a data science tool that anyone can use to design and prototype highly explainable AI and machine learning models that help build trust throughout an organization. Altair AI Studio includes: - Full generative AI functionality with access to hundreds of large language models (LLMs). - Intuitive and powerful drag-and-drop canvases that give users code-like control without complexity. - Award-winning auto ML with automated clustering, predictive modeling, feature engineering, and time series forecasting. - Data connectivity, exploration, and preparation. - Deploy and manage AI projects and models at enterprise scale. - Collaborate with team members in the same environment without having to worry about overwriting each other's work. - Unify the entire data science lifecycle from data exploration and machine learning to model operations and visualization and deploy in the cloud. Altair AI Studio helps users make powerful insights accessible to the entire organization and can scale seamlessly for users and enterprises. Altair AI studio enables organizations to derive significant value from AI with minimal cost and operational impact. **Average Rating:** 4.6/5.0 **Total Reviews:** 494 **How Do G2 Users Rate Altair AI Studio?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **AI Text Summarization:** 6.9/10 (Category avg: 8.1/10) - **Algorithms:** 8.6/10 (Category avg: 8.5/10) - **AI Text Generation:** 7.2/10 (Category avg: 8.1/10) **Who Is the Company Behind Altair AI Studio?** - **Seller:** [Altair](https://www.g2.com/sellers/altair-186799f5-3238-493f-b3ad-b8cac484afd7) - **Company Website:** https://www.altair.com/ - **Year Founded:** 1985 - **HQ Location:** Troy, MI - **LinkedIn® Page:** https://www.linkedin.com/company/8323/ (2,774 employees on LinkedIn®) - **Ownership:** NASDAQ:ALTR **Who Uses This Product?** - **Who Uses This:** Student, Data Scientist - **Top Industries:** Higher Education, Education Management - **Company Size:** 42% Small-Business, 30% Mid-Market #### What Are Altair AI Studio's Pros and Cons? **Pros:** - Ease of Use (9 reviews) - Machine Learning (8 reviews) - AI Integration (6 reviews) - AI Technology (5 reviews) - Automation (5 reviews) **Cons:** - Complexity (4 reviews) - Large Dataset Handling (3 reviews) - Slow Performance (3 reviews) - Complexity Issues (2 reviews) - Complex Usage (2 reviews) ### What Do G2 Reviewers Say About Altair AI Studio? *AI-generated summary from verified user reviews* **Pros:** - Users enjoy the **easy-to-use interface** of Altair AI Studio, allowing for seamless data science task completion. - Users value the **no-code machine learning capability** of Altair AI Studio, facilitating easy model creation and advanced analytics. - Users appreciate the **seamless AI integration** of Altair AI Studio, enhancing decision-making and efficiency in data analysis. - Users admire the **advanced machine learning and data analytics** in Altair AI Studio, enhancing decision-making and efficiency. - Users value the **automation capabilities** of Altair AI Studio, significantly enhancing efficiency and decision-making processes. **Cons:** - Users find the **complexity** of Altair AI Studio challenging, especially with language support and handling large datasets. - Users face **slower performance** and occasional UI bugs when handling large datasets in Altair AI Studio. - Users face **slow performance** with Altair AI Studio, particularly when managing large or complex datasets. - Users find the **complexity issues** of Altair AI Studio frustrating, especially due to limited support options. - Users find the **complex usage** of Altair AI Studio challenging due to steep learning curves and inadequate documentation. #### What Are Recent G2 Reviews of Altair AI Studio? **"[Essential Tool for Streamlined Sensor Analysis](https://www.g2.com/survey_responses/altair-ai-studio-review-12568188)"** **Rating:** 5.0/5.0 stars *— Ayçe M.* [Read full review](https://www.g2.com/survey_responses/altair-ai-studio-review-12568188) --- **"[Great tool for easy data analysis and testing of AI models](https://www.g2.com/survey_responses/altair-ai-studio-review-12942088)"** **Rating:** 4.5/5.0 stars *— Sanjeet S.* [Read full review](https://www.g2.com/survey_responses/altair-ai-studio-review-12942088) --- #### What Are G2 Users Discussing About Altair AI Studio? - [What is RapidMiner used for?](https://www.g2.com/discussions/what-is-rapidminer-used-for) - 1 comment - [What are the data mining tools?](https://www.g2.com/discussions/what-are-the-data-mining-tools) - [Is RapidMiner open source?](https://www.g2.com/discussions/is-rapidminer-open-source) - [How do you use the Rapid Miner?](https://www.g2.com/discussions/how-do-you-use-the-rapid-miner) - [Is Rapid Miner legit?](https://www.g2.com/discussions/is-rapid-miner-legit) ### 23. [Demandbase One](https://www.g2.com/products/demandbase-one/reviews) Demandbase is the leading, enterprise-grade account-based GTM platform for sales and marketing teams designed to make every moment and every dollar count. Since creating the category in 2013, we have been pioneering technologies to sharpen revenue teams’ ability to confidently deliver the right message to the right customers at the right time. Powered by industry-leading data, our transparent and tunable AI-enhanced model, and integrations that meet your tech stack where it is, Demandbase helps you to take meaningful action confidently and efficiently. We know that there’s no such thing as ‘one-size- fits-all’ account-based marketing and sales. That’s why we built our platform to be flexible, easily handling dynamic GTM motions, nuanced business rules, and diverse integrations that others struggle with. Demandbase One™ is your account-based GTM command center, powering your entire revenue stack. Our AI-driven engine unifies first and third-party data, streamlines cross-channel execution, and connects the tools in your stack with the same data, insights, and workflows to accelerate your revenue. **Average Rating:** 4.4/5.0 **Total Reviews:** 1,941 **How Do G2 Users Rate Demandbase One?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10) **Who Is the Company Behind Demandbase One?** - **Seller:** [Demandbase](https://www.g2.com/sellers/demandbase) - **Company Website:** https://www.demandbase.com - **Year Founded:** 2005 - **HQ Location:** San Francisco, CA - **Twitter:** @Demandbase (21,346 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/89759/ (987 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Account Executive, Business Development Representative - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 48% Mid-Market, 32% Enterprise #### What Are Demandbase One's Pros and Cons? **Pros:** - Ease of Use (225 reviews) - Lead Generation (190 reviews) - Insights (184 reviews) - Intent Data (170 reviews) - Features (166 reviews) **Cons:** - Learning Curve (86 reviews) - Steep Learning Curve (77 reviews) - Complexity (70 reviews) - Learning Difficulty (63 reviews) - Not Intuitive (63 reviews) ### What Do G2 Reviewers Say About Demandbase One? *AI-generated summary from verified user reviews* **Pros:** - Users find Demandbase One to be **easy to use** , streamlining targeted audience building and improving workflow efficiency. - Users benefit from **comprehensive tools** in Demandbase One, enhancing account targeting, analytics, and marketing strategies effectively. - Users appreciate the **comprehensive suite of tools** in Demandbase One for effective account management and analytics. - Users find **intent data** in Demandbase One essential for efficiently identifying and targeting the right accounts. - Users value the **integrated data and seamless CRM connectivity** of Demandbase One, enhancing targeted audience building and efficiency. **Cons:** - Users find the **learning curve challenging** , as mastering features can be overwhelming and requires additional support or training. - Users find the **steep learning curve** of Demandbase One frustrating due to its overwhelming features and complex functionalities. - Users find the **steep learning curve** of Demandbase One challenging, especially for small teams and new users. - Users find the **learning difficulty** of Demandbase One challenging, particularly for those without technical skills. - Users find the **navigation challenging** in Demandbase One, making the experience less intuitive for first-time users. #### What Are Recent G2 Reviews of Demandbase One? **"[Demandbase One: Powerful Targeting, Intent Insights, and Account-Level Visibility](https://www.g2.com/survey_responses/demandbase-one-review-12742698)"** **Rating:** 4.0/5.0 stars *— Nijat I.* [Read full review](https://www.g2.com/survey_responses/demandbase-one-review-12742698) --- **"[Powerful Intent Data and Account Insights for B2B Account Prioritization](https://www.g2.com/survey_responses/demandbase-one-review-12823589)"** **Rating:** 4.5/5.0 stars *— Himanshu J.* [Read full review](https://www.g2.com/survey_responses/demandbase-one-review-12823589) --- #### What Are G2 Users Discussing About Demandbase One? - [As a beginner, how do I effectively use Demandbase One's account-based marketing feature for targeted campaigns?](https://www.g2.com/discussions/as-a-beginner-how-do-i-effectively-use-demandbase-one-s-account-based-marketing-feature-for-targeted-campaigns) - 1 upvote - [What is Demandbase ABM/ABX Cloud used for?](https://www.g2.com/discussions/what-is-demandbase-abm-abx-cloud-used-for) - [What does Insideview Data Integrity do?](https://www.g2.com/discussions/what-does-insideview-data-integrity-do) - [What is the use of Insideview Data Integrity?](https://www.g2.com/discussions/what-is-the-use-of-insideview-data-integrity) - [What does inside view do?](https://www.g2.com/discussions/what-does-inside-view-do) ### 24. [TrendMiner](https://www.g2.com/products/trendminer/reviews) TrendMiner offers a fast, powerful, and intuitive industrial analytics & AI software platform. With a focus on highly digitized manufacturing industries, energy companies, and organizations with operations that need to maintain controlled environments. TrendMiner combines self-service, low-code data analysis for time series and event data with sophisticated machine learning (ML) and Agentic AI tools to deliver industrial data visualization, monitoring, and predictive capabilities. TrendMiner, a Vercore company, was founded in 2008 with a global headquarters located in Belgium, and offices in the U.S., Germany, Spain, and the Netherlands. TrendMiner has strategic partnerships with Amazon, Microsoft, SAP, GE Digital, Siemens, and Aveva, and offers standard integrations with a wide range of data platforms such as AVEVA PI, Yokogawa Exaquantum, AspenTech IP.21, Honeywell PHD, GE Proficy Historian, Canary, and Aveva Historian. **Average Rating:** 4.6/5.0 **Total Reviews:** 178 **How Do G2 Users Rate TrendMiner?** - **Has the product been a good partner in doing business?:** 9.3/10 (Category avg: 8.9/10) - **AI Text Summarization:** 6.6/10 (Category avg: 8.1/10) - **Algorithms:** 7.7/10 (Category avg: 8.5/10) - **AI Text Generation:** 6.6/10 (Category avg: 8.1/10) **Who Is the Company Behind TrendMiner?** - **Seller:** [TrendMiner](https://www.g2.com/sellers/trendminer) - **Company Website:** https://www.trendminer.com/ - **Year Founded:** 2008 - **HQ Location:** Hasselt, Flemish Region - **Twitter:** @TrendMining (777 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/trendminer/ (89 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Process Analytics Engineer, Process Engineer - **Top Industries:** Chemicals, Oil & Energy - **Company Size:** 53% Enterprise, 35% Mid-Market #### What Are TrendMiner's Pros and Cons? **Pros:** - Ease of Use (15 reviews) - Speed (7 reviews) - Insights (6 reviews) - Real-Time Monitoring (6 reviews) - Customer Support (5 reviews) **Cons:** - Complex Usability (8 reviews) - Difficult Learning (4 reviews) - Complexity (3 reviews) - Learning Curve (3 reviews) - Tool Limitations (3 reviews) ### What Do G2 Reviewers Say About TrendMiner? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **intuitive design** of TrendMiner, making it effortlessly accessible and quick to learn. - Users appreciate the **quick insights** TrendMiner provides, making data analysis efficient and user-friendly. - Users value the **quick insights** provided by TrendMiner, enhancing operational monitoring and decision-making efficiency. - Users value the **real-time monitoring** of TrendMiner, enabling quick insights and effective production management. - Users praise the **responsive customer support** , appreciating the quick assistance and effective feedback implementation. **Cons:** - Users find the **complex usability** of TrendMiner challenging, especially in connecting data sources and learning the interface. - Users struggle with **difficult learning** due to a lack of adequate training materials and the need for technical skills. - Users find that the **complexity** of advanced functions requires training and makes system administration cumbersome. - Users find the **learning curve steep** , struggling with extensive features and requiring focused training to grasp functionality. - Users face **tool limitations** with TrendMiner, particularly lacking a mobile app and facing nesting and custom calculation restrictions. #### What Are Recent G2 Reviews of TrendMiner? **"[Powerful tool for getting a good overview to detailed granular analitics](https://www.g2.com/survey_responses/trendminer-review-11789103)"** **Rating:** 4.5/5.0 stars *— Edward B.* [Read full review](https://www.g2.com/survey_responses/trendminer-review-11789103) --- **"[Simple Visualization, Quick Analysis](https://www.g2.com/survey_responses/trendminer-review-11788512)"** **Rating:** 4.5/5.0 stars *— Susana S.* [Read full review](https://www.g2.com/survey_responses/trendminer-review-11788512) --- #### What Are G2 Users Discussing About TrendMiner? - [How has Software AG TrendMiner supported your industrial analytics, and what features do you rely on?](https://www.g2.com/discussions/how-has-software-ag-trendminer-supported-your-industrial-analytics-and-what-features-do-you-rely-on) - [What is TrendMiner used for?](https://www.g2.com/discussions/what-is-trendminer-used-for) - 1 comment ### 25. [Seeq](https://www.g2.com/products/seeq/reviews) Seeq is the only enterprise SaaS platform that is purpose-built for time series data, and is trusted by the most recognizable names in oil & gas, pharmaceuticals, specialty chemicals, utilities, renewable energy, and numerous other vertical industries. Seeq accelerates digital transformation efforts and ROI impact by providing live connectivity to hundreds of data sources, and empowering more people across the organization to leverage a broad range of AI capabilities including advanced analytics, machine learning, and generative AI (GenAI). **Average Rating:** 4.6/5.0 **Total Reviews:** 145 **How Do G2 Users Rate Seeq?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10) - **AI Text Summarization:** 6.9/10 (Category avg: 8.1/10) - **Algorithms:** 7.6/10 (Category avg: 8.5/10) - **AI Text Generation:** 7.2/10 (Category avg: 8.1/10) **Who Is the Company Behind Seeq?** - **Seller:** [Seeq Corporation](https://www.g2.com/sellers/seeq-corporation) - **Company Website:** https://www.seeq.com - **Year Founded:** 2013 - **HQ Location:** Seattle, Washington - **Twitter:** @SeeqCorporation (959 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3126445/ (307 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Process Engineer - **Top Industries:** Oil & Energy, Chemicals - **Company Size:** 58% Enterprise, 32% Mid-Market #### What Are Seeq's Pros and Cons? **Pros:** - Data Analysis (29 reviews) - Ease of Use (24 reviews) - Features (19 reviews) - Analysis Capabilities (14 reviews) - Automation (10 reviews) **Cons:** - Difficult Learning (16 reviews) - Complex Usability (15 reviews) - Learning Curve (10 reviews) - Learning Difficulty (7 reviews) - UX Improvement (5 reviews) ### What Do G2 Reviewers Say About Seeq? *AI-generated summary from verified user reviews* **Pros:** - Users value the **effective data analysis capabilities** of Seeq, enabling insightful visualization and knowledge sharing across teams. - Users find Seeq's **ease of use** impressive, enabling quick data analysis and efficient decision-making across various professions. - Users find Seeq's **user-friendly interface and automation** invaluable for quickly gaining actionable insights and enhancing performance. - Users value the **intuitive analysis capabilities** of Seeq, simplifying time series data exploration and trend identification. - Users value the **automation capabilities** of Seeq, significantly enhancing data analysis efficiency and decision-making speed. **Cons:** - Users find the **difficult learning** curve of Seeq challenging, especially when navigating its complex features alone. - Users find Seeq's interface **not user friendly** , struggling with time series visualization and AI agent confusion. - Users find the **learning curve steep** , requiring assistance to effectively utilize Seeq's advanced features. - Users find **learning Seeq challenging** , especially mastering formulas and navigating the tool without guidance. - Users find the **interface not user friendly** , hindering effective visualization of LIMS quality and time series data. #### What Are Recent G2 Reviews of Seeq? **"[My seeq review](https://www.g2.com/survey_responses/seeq-review-11719959)"** **Rating:** 5.0/5.0 stars *— Verified User in Pharmaceuticals* [Read full review](https://www.g2.com/survey_responses/seeq-review-11719959) --- **"[Seeq Accelerates Digital Transformation and Transforms Business Processes](https://www.g2.com/survey_responses/seeq-review-12061217)"** **Rating:** 4.5/5.0 stars *— Simon T.* [Read full review](https://www.g2.com/survey_responses/seeq-review-12061217) --- #### What Are G2 Users Discussing About Seeq? - [How much does seeq cost?](https://www.g2.com/discussions/how-much-does-seeq-cost) - 1 upvote - [What is seeq cortex?](https://www.g2.com/discussions/what-is-seeq-cortex) - 1 comment - [What does seeq stand for?](https://www.g2.com/discussions/what-does-seeq-stand-for) - [What is seeq used for?](https://www.g2.com/discussions/what-is-seeq-used-for) ## What Is Predictive Analytics Software? [Analytics Tools & Software](https://www.g2.com/categories/analytics-tools-software) ## What Software Categories Are Similar to Predictive Analytics Software? - [Analytics Platforms](https://www.g2.com/categories/analytics-platforms) - [Machine Learning Software](https://www.g2.com/categories/machine-learning) - [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) --- ## How Do You Choose the Right Predictive Analytics Software? ### What You Should Know About Predictive Analytics Software ### What are predictive analytics tools and software? Predictive analytics software is all about making business outcomes predictable. Data scientists and data analysts can do this by using data mining and predictive modeling to analyze historical data. By better understanding the past, businesses can gain insights into the future. [Predictive analytics](https://www.g2.com/articles/predictive-analytics) is a step further than general [business intelligence](https://www.g2.com/glossary/business-intelligence-definition), which companies use to pull actionable insights from their data sets. Instead, users can develop [machine learning algorithms](https://www.g2.com/articles/what-is-machine-learning) and predictive models to help forecast and achieve business-critical numbers. The reason businesses can hit those critical numbers and become more predictive is due to the boom of big data. Companies can harness their data like never before. By recording and owning more and more historical and real-time data, data scientists have larger sample sizes to work with, meaning they can be much more accurate. Additionally, companies investing in predictive analytics without ensuring that their data is accurate, clean, and accessible will ultimately be wasting their time. However, those who can wrangle their data properly will create a significant competitive edge and hold an advantage in the market. ### Benefits of using predictive analytics tools - Accurately predict and forecast revenue numbers based on a wide range of variables - Understand and account for customer churn and retention - Predict employee churn based on historical factors for turnover - Make more precise, data-driven decisions in all departments based on available data - Determine both risks and opportunities that were otherwise hidden within company data ### Why use predictive analytics solutions? There are a number of applications for predictive analytics software and reasons businesses should adopt them, but they all boil down to understanding what has happened in the past, what could happen in the future, and what should be done to ensure positive business outcomes. These are considered [descriptive analytics, predictive analytics, and prescriptive analytics](https://www.g2.com/articles/types-of-data-analytics). **Descriptive Analytics (understanding the past) —** Descriptive analytics deals with understanding what has happened in the past and how it has influenced where a business is in the present. This means undergoing data mining on a company’s historical data. This type of analysis can be obtained by using business intelligence tools, big data analytics, or time-series data. Regardless of how it is attained, providing descriptive analytics is a key foundation of predictive analytics and creating data-driven decision-making processes. It requires thorough data preparation and organizing the data for easy descriptive analysis. **Predictive Analytics (knowing what is possible) —** Predictive analytics allows users and businesses to know and anticipate potential outcomes. Building predictive models based on descriptive analysis can ensure that businesses do not make the same mistake twice. It can also provide more accurate forecasting and planning, which helps to optimize efficiency. Ultimately, this analysis makes the unknown known. **Prescriptive Analytics (so now what?) —** The final step and ultimate reason for using predictive analytics tools is to make clear actions based on the suggestions and recommendations of the predictive models. This is where machine learning and deep learning functionality come into play. Some predictive analytics solutions can provide actionable insights without human intervention. For example, it can provide a short list of sales accounts that should close quickly based on several variables. Becoming prescriptive takes analytics a step further and is the ultimate reason for adopting advanced, predictive analytics. ### Who uses predictive analytics platforms? To fully take advantage of predictive analytics platforms, businesses need to hire highly skilled data scientists with knowledge in machine learning development and predictive modeling. These skilled workers are not abundant, so they are often paid very well. Dedicating financial resources to these positions may not be an option for every company, but those who can afford data scientists have a leg up on the competition. While data scientists or data analysts are the employees tasked with using predictive analytics software, there are many industries and departments that can be impacted by using predictive analytics: **Manufacturing and Supply Chain—** One area that can be greatly enhanced by using predictive analysis is demand planning for manufacturing companies. With more accurate forecasting, businesses can avoid risks like shortages and surpluses. Additionally, companies can become predictive about quality management and production issues. By analyzing what has caused production failures in the past, companies can anticipate and avoid production breakdowns in the future. Distribution is another major aspect of the supply chain that can be further optimized with predictive modeling. By better estimating where goods will need to be delivered and the risks that may hold up distribution modes, businesses can provide better service and more efficiently deliver their products to customers. Taking into account historical data, such as weather, traffic, and accident records, shipping can become a more precise science. **Retail —** Retail is another industry that is ripe for optimization with the help of predictive analytics. Retail predictive analytics can provide businesses with insights on everything from pricing optimization to understanding how shoppers navigate brick-and-mortar stores for better in-store organization of merchandise. E-commerce businesses can track these factors in a much more efficient manner. All e-commerce interactions can be recorded into a database and influenced by predictive models. This is one of the main reasons Amazon has been so successful and disruptive to brick-and-mortar retailers. Every decision can be made predictive with the help of data. **Marketing and Sales —** Being able to predict the actions of customers and prospects is an invaluable service for any business. Marketing teams can leverage predictive analytics software to project how marketing campaigns may perform, which segment of prospects to target with ads, and the potential conversion rates of each campaign. Understanding how these efforts impact the bottom line is critical to the success of marketing teams and translates into a much more efficient and productive sales team. At the same time, sales teams can leverage predictive modeling in such areas as lead scoring, determining which accounts to target first because they have a higher chance of closing. Ensuring that sales representatives are working smarter instead of harder means more revenue. A few [CRM](https://www.g2.com/categories/crm) and [marketing automation solutions](https://www.g2.com/categories/marketing-automation) provide some level of predictive functionality, but data scientists can separately funnel that data into dedicated predictive analytics tools to find cross-departmental correlations. **Financial Services—** The banking industry has long been ripe for disruption, but financial administrations are using predictive analytics solutions to better predict risk. Historical data can power predictive analytics software to predict fraudulent transactions and determine credit risks, among other functions. ### Types of predictive analytics software Predictive modeling is a complex science that requires years of training to understand. There is a reason data scientists are in high demand: not many people have a complete grasp of how to build predictive models. There are two main types of predictive models: classification and regression models. **Classification Models—** Simply put, classification puts a piece of data into a bucket or a class and labels it as such. Classification models essentially label data based on what an algorithm has already learned. The ultimate goal of classification models is to accurately bucket new data points into the proper classes so that the data can become predictive and prescriptive. **Regression Models—** Regression models analyze the relationship between two separate data points and help forecast what happens when they are placed side by side. For example, in baseball, teams may perform a regression analysis on the relationship between the number of fastballs thrown and the number of home runs hit. **Decision Trees —** One common type of classification model is a decision tree. These models predict several possible outcomes based on a variety of inputs. For example, if a sales team builds $1 million in a pipeline, they can close $100,000 in revenue, but if they create $10 million in a pipeline, they should be able to close $1 million in revenue. **Neural Networks—** Neural networks, known in the AI world as artificial neural networks, are extremely complex predictive models. These models can predict and analyze unstructured, nonlinear relationships between data points. These solutions provide pattern recognition and can help track anomalies. Artificial neural networks were originally created and built to mimic the synapses and neural aspects of the human brain. They are one of the contributing factors to the accelerated growth in artificial intelligence and deep learning. Other types of predictive modeling include Bayesian analysis, memory-based reasoning, k-nearest neighbor, support vector machines, and time-series data mining. ### Potential issues with predictive analytics software solutions **Lack of Skilled Employees—** The main issue with adopting predictive analytics software is the need for a skilled data scientist to interact with the data and build the models. There is a distinct skill gap in terms of finding users who understand how to pull data and build models and the implications that the data has on the overall business. For this reason, data scientists are in very high demand and, thus, expensive. **Data Organization—** Many companies face the challenge of organizing data so that it can be easily accessed. Harnessing big data sets that contain historical and real-time data is not easy in today's world. Companies often need to build a data warehouse or a data lake that can combine all the disparate data sources for easy access. This, again, requires highly knowledgeable employees. ### Software and services related to predictive analytics tools Predictive analytics software relates to many other analytics and [artificial intelligence software](https://www.g2.com/categories/artificial-intelligence) categories. [**Machine Learning Software**](https://www.g2.com/categories/machine-learning) **—** Machine learning algorithms are a key component of building effective predictive models. Many machine learning algorithms are built to provide recommendations or suggestions, which is also the end goal of predictive analytics software. Developers use these tools to embed machine learning inside applications, often to provide predictive and prescriptive analysis. [**Business Intelligence Platforms**](https://www.g2.com/categories/business-intelligence) **—** These tools are the traditional analytics solutions used to understand a company’s data. Data analysts use BI platforms to visualize and understand how specific actions impact business-critical initiatives. Some of these platforms offer predictive features, but their core purpose is not predictive modeling. [**Big Data Analytics**](https://www.g2.com/categories/big-data-analytics) **—** Big data analytics software, like business intelligence platforms, often provides predictive modeling functionality. However, these solutions are used more to track real-time data than to understand historical data. Big data analytics software connects to Hadoop or proprietary Hadoop distributions to better understand structured and unstructured data. These same data sources may be important for data scientists who are tasked with building predictive models.