# Best Predictive Analytics Tools and Software *By [Bijou Barry](https://research.g2.com/insights/author/bijou-barry)* Predictive analytics software mines and analyzes historical data patterns to predict future outcomes by extracting information from data sets to determine patterns and trends. Using a range of statistical analysis and algorithms, analysts use predictive analytics tools to build decision models, which business managers can use to plan for the best possible outcome. Analysts, business users, data scientists, and developers all use predictive analytics solutions to better understand customers, products, and partners and to identify potential risks and opportunities for a company. Predictive analytics platforms enable organizations to use big data (both stored and real-time) to move from a historical view to a forward-looking perspective of the customer. These tools and techniques can be deployed both on premise (usually for enterprise users) and in the cloud. While the majority of predictive analytics software is proprietary, versions that are based on open-source technology do exist. Recent trends in software for predictive analytics show its integration with [business intelligence platforms](https://www.g2.com/categories/business-intelligence-platforms), [ERP systems](https://www.g2.com/categories/erp-systems), or other [digital analytics software](https://www.g2.com/categories/digital-analytics). To qualify for inclusion in the Predictive Analytics category, a product must: - Mine and analyze structured and/or unstructured data - Create datasets and/or data visualizations from compiled data - Create predictive models to forecast future probabilities - Adapt to change and revisions - Allow import and export from office suites or other data-collecting channels ## 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 (3,614 reviews) | Visual data storytelling with drag-and-drop forecasting | "[Fast, Intuitive, and Insight-Driven Dashboards with Tableau](https://www.g2.com/survey_responses/tableau-review-13036516)" | | 2 | [Clari](https://www.g2.com/products/clari/reviews) | 4.6/5.0 (5,500 reviews) | AI-driven revenue forecasting inside Salesforce pipelines | "[Effortlessly Manage Calls with Clari](https://www.g2.com/survey_responses/clari-review-12786353)" | | 3 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,147 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)" | | 4 | [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)" | | 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 (436 reviews) | Enterprise forecasting with governed data models | "[Powerful Analytics Platform with Strong Reporting Features](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12920998)" | | 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 (Jun 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: June 29, 2026* ## How Does G2 Rank Predictive Analytics Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 30,500+ 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? - **Leader:** [Tableau](https://www.g2.com/products/tableau/reviews) - **Highest Performer:** [Nixtla](https://www.g2.com/products/nixtla/reviews) - **Easiest to Use:** [Nixtla](https://www.g2.com/products/nixtla/reviews) - **Top Trending:** [Tableau](https://www.g2.com/products/tableau/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%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&secure%5Btoken%5D=e40b5d7740f06b7f43989371c3233bd710b83a7fda6be47c54a5cfd1c04f2d19&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:** 3,614 **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 (612 reviews) - Data Visualization (563 reviews) - Visualization (424 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 commend Tableau for its **ease of use** , enabling quick, clear data visualizations and smooth integration with Salesforce. - Users value Tableau's **interactive data visualization** features, enhancing performance tracking and decision-making through clear dashboards. - Users love Tableau for its **powerful data visualization** and intuitive interface, making complex data easy to understand. - Users love Tableau for its **ease of use** and ability to generate high-quality, engaging reports effortlessly. - Users find Tableau’s **intuitive design** empowering, allowing easy creation of interactive dashboards and insightful data visualizations. **Cons:** - Users find the **learning curve steep** in Tableau, making onboarding and integration with Salesforce challenging. - Users find **learning difficulties** with Tableau, especially in collaboration, calculations, and switching from familiar tools like MS products. - Users find Tableau to be **expensive** , often questioning its value compared to alternative visualization tools. - Users often face **slow performance** with Tableau when handling large datasets or during data refresh, leading to frustration. - Users find the **onboarding process complex** , often making simple tasks unnecessarily difficult due to high customization. #### What Are Recent G2 Reviews of Tableau? **"[Tableau Makes Business Data Easy to Explore with Interactive Dashboards](https://www.g2.com/survey_responses/tableau-review-13037513)"** **Rating:** 4.0/5.0 stars *— Vinodh Kumar E.* [Read full review](https://www.g2.com/survey_responses/tableau-review-13037513) --- **"[Fast, Intuitive, and Insight-Driven Dashboards with Tableau](https://www.g2.com/survey_responses/tableau-review-13036516)"** **Rating:** 5.0/5.0 stars *— Madhavi G.* [Read full review](https://www.g2.com/survey_responses/tableau-review-13036516) --- #### 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:** 5,500 **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/ (1,101 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 (722 reviews) - Forecasting (486 reviews) - Features (365 reviews) - Salesforce Integration (326 reviews) - Helpful (287 reviews) **Cons:** - Limitations (186 reviews) - Limited Customization (150 reviews) - Learning Curve (147 reviews) - Missing Features (147 reviews) - Salesforce Integration (131 reviews) ### What Do G2 Reviewers Say About Clari? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Clari, enjoying effortless forecasting and seamless updates for decision-making. - Users appreciate the **ease of use in forecasting** , enabling quick updates and better tracking against their quotas. - Users value Clari for its **real-time updates** and **seamless Salesforce integration** , enhancing sales focus and efficiency. - Users value the **seamless Salesforce integration** of Clari, streamlining access to crucial account-level data effortlessly. - Users find Clari to be **very helpful** for forecasting and managing revenue with its intuitive dashboard and reporting tools. **Cons:** - Users report **customization limitations** with Clari, which hinder its adaptability to specialized business needs. - Users find **limited customization options** in Clari, hindering unique business needs and personal viewing preferences. - Users find the **learning curve challenging** due to initial configuration and occasional UI confusion, despite its ease of use. - Users experience **missing features** in Clari, particularly regarding filtering capabilities and customization options. - Users experience **data reflection delays** between Clari and Salesforce, impacting direct report accuracy and navigation ease. #### 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) --- **"[Effortlessly Manage Calls with Clari](https://www.g2.com/survey_responses/clari-review-12786353)"** **Rating:** 5.0/5.0 stars *— Aditi S.* [Read full review](https://www.g2.com/survey_responses/clari-review-12786353) --- #### 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:** 1,147 **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:** 7.5/10 (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 (129 reviews) - Speed (126 reviews) - Integrations (110 reviews) - Fast Querying (105 reviews) - Query Efficiency (100 reviews) **Cons:** - Expensive (112 reviews) - Query Issues (65 reviews) - Cost Management (52 reviews) - Cost Issues (51 reviews) - Learning Curve (49 reviews) ### What Do G2 Reviewers Say About Google Cloud BigQuery? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Google Cloud BigQuery, thanks to its fast performance and seamless integration. - Users appreciate the **high speed** of BigQuery, allowing quick processing of large datasets effortlessly. - Users value the **seamless integrations** of Google Cloud BigQuery, enhancing their analytics capabilities across various platforms. - Users value the **fast querying capabilities** of Google Cloud BigQuery, enabling efficient analysis of large datasets effortlessly. - Users praise the **query efficiency** of BigQuery, appreciating its ability to process complex queries effortlessly on large datasets. **Cons:** - Users find the **cost structure** of BigQuery to be expensive, especially with complex and inefficient queries. - Users struggle with **query issues** in BigQuery, facing challenges in cost management and troubleshooting complex SQL jobs. - Users face **unpredictable pricing** with Google Cloud BigQuery, leading to unexpected costs and challenges in budget management. - Users face **cost issues** with Google Cloud BigQuery due to unexpected bill spikes and difficult budgeting management. - Users find the **steep learning curve** of Google Cloud BigQuery challenging, especially for advanced features and query optimization. #### 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. [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 (175 reviews) - Analytics (149 reviews) - Data Analysis (125 reviews) - Data Visualization (116 reviews) **Cons:** - Learning Difficulty (105 reviews) - Complexity (103 reviews) - Learning Curve (99 reviews) - Difficult Learning (82 reviews) - Expensive (78 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, simplifying data visualization and enhancing strategic decision-making processes. - Users value the **advanced analytical capabilities** of SAS Viya, enhancing real-time decision-making and data-driven insights. - Users appreciate the **advanced analytical capabilities** of SAS Viya, enhancing decision-making and streamlining workflows effectively. - Users enjoy the **end-to-end data lifecycle tooling** of SAS Viya, enhancing insights and decision-making across their organization. - Users value the **powerful data visualization** capabilities of SAS Viya, enhancing insights and decision-making in their organizations. **Cons:** - Users find the **learning difficulty** of SAS Viya frustrating, particularly for non-technical team members and initial setup. - Users find the **complexity** of SAS Viya's user management and setup overwhelming, especially for smaller teams. - Users find the **learning curve challenging** , especially for non-technical users navigating features and initial set-up. - Users note that SAS Viya can be **difficult to learn** , especially for beginners and non-technical users. - Users find the **high licensing costs** of SAS Viya to be a significant drawback affecting affordability. #### 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 ### 5. [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 value Adobe Analytics for its **advanced segmentation and customizable dashboards** , enhancing data analysis and visualization capabilities. - Users appreciate the **advanced segmentation and customizable dashboards** of Adobe Analytics for effective data analysis and visualization. - Users appreciate the **ease of use** of Adobe Analytics, simplifying complex data analysis and visualization for better insights. - Users find Adobe Analytics to offer **advanced data analysis** , enabling in-depth understanding of user behavior and campaign effectiveness. - Users find Adobe Analytics' **reporting capabilities invaluable** for informed decision-making and understanding user behavior. **Cons:** - Users find the **learning curve steep** , requiring significant time and training to master Adobe Analytics effectively. - Users note a **steep learning curve** with Adobe Analytics, making initial setup and feature navigation quite challenging. - Users find Adobe Analytics to be **expensive** , making it less accessible for smaller teams and organizations. - Users experience **slow performance** with Adobe Analytics, particularly when handling large datasets and editing reporting suites. - Users find Adobe Analytics to have a **complexity** that leads to a steep learning curve and overwhelming setup. #### 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 ### 6. [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:** 436 **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 transformation and intuitive navigation. - Users appreciate the **powerful report generation** capabilities of IBM Cognos Analytics, enhancing their data analysis experience. - Users admire the **ease of building complex dashboards** quickly, empowering novice data users to create impactful reports. - Users appreciate the **powerful analytics capabilities** of IBM Cognos Analytics, enabling insightful data visualization and user-friendly customization. - Users value the **dashboard customization** in Cognos Analytics, making complex data visualization straightforward and effective. **Cons:** - Users find the **steep learning curve** challenging, requiring significant time and training to navigate IBM Cognos Analytics effectively. - Users find the **complexity** of IBM Cognos Analytics challenging, requiring extensive training to build effective reports. - Users find the **complex usage** of IBM Cognos Analytics to be cumbersome and challenging when creating reports. - Users find it **difficult to learn and navigate** IBM Cognos Analytics, especially in locating historical reports and building functionalities. - Users find it challenging to locate **historical reports** , making it tough for novices to use the reporting module. #### What Are Recent G2 Reviews of IBM Cognos Analytics? **"[Powerful Analytics Platform with Strong Reporting Features](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12920998)"** **Rating:** 5.0/5.0 stars *— Chetana P.* [Read full review](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12920998) --- **"[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) --- #### 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 ### 7. [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/ (156,424 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 **smooth integration with AWS services** , enabling effective and scalable dashboard creation effortlessly. - Users find Amazon QuickSight to be **very user-friendly** , simplifying interactions with AWS and enhancing data integration. - Users appreciate the **easy integrations** of Amazon QuickSight, enhancing convenience with seamless compatibility with AWS services. - Users value the **interactive dashboards and data visualization** features of Amazon QuickSight, enhancing real-time insights significantly. - Users love the **interactive dashboards** of Amazon QuickSight, which provide real-time insights and seamless integration with AWS services. **Cons:** - Users find the **limited customization options** of Amazon QuickSight restrict their ability to tailor dashboards effectively. - Users find the **learning curve steep** for Amazon QuickSight, requiring additional AWS knowledge for effective use. - Users find the **limited visualization options** in Amazon QuickSight restrict their ability to fully customize dashboards. - Users find **missing features** in Amazon QuickSight, especially in customization and advanced analytics compared to competitors. - Users find the **poor interface design** of Amazon QuickSight less intuitive, limiting effective customization and advanced analysis. #### 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 ### 8. [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, simplifying complex statistical analysis for everyone. - Users value the **user-friendly menu-driven interface** of IBM SPSS Statistics for simplifying complex statistical analysis effortlessly. - Users appreciate the **superior data management and cleaning capabilities** of SPSS, making complex data handling effortless. - Users value the **user-friendly interface** of IBM SPSS Statistics, making complex analyses easy for non-programmers. - Users value the **easy-to-understand analysis capabilities** of IBM SPSS Statistics, enabling effective data interpretation and research insights. **Cons:** - Users find the **cost to be prohibitively high** , especially for small businesses, impacting overall usability. - Users find the **poor visualization** in SPSS Statistics frustrating, hindering clarity and ease of use for beginners. - Users struggle with a steep **learning curve** , wishing for improved tutorials and easier initial setup. - Users note the **outdated interface** of SPSS Statistics, which can hinder the learning experience for newcomers. - Users often experience **performance issues** with IBM SPSS Statistics, especially when handling large datasets. #### 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 ### 9. [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 value the **ease of use** of SAP Analytics Cloud, ensuring effortless data understanding and streamlined reporting. - Users value the **wide range of data connectivity options** in SAP Analytics Cloud, enhancing seamless integration and analytics. - Users value the **interactive dashboards and real-time data connectivity** of SAP Analytics Cloud for clear insights and effective planning. - Users value the **easy integrations** of SAP Analytics Cloud, enabling seamless data connectivity and efficient project management. - Users appreciate the **wide range of data connectivity options** in SAP Analytics Cloud, enhancing seamless integration and decision-making. **Cons:** - Users experience **slow performance** in SAP Analytics Cloud, especially when working with large datasets or complex calculations. - Users face a **steep learning curve** , finding it complicated to navigate and configure SAP Analytics Cloud initially. - Users experience a **steep learning curve** with SAP Analytics Cloud, making initial navigation and configuration challenging. - Users often experience **performance issues** with SAP Analytics Cloud, particularly when managing complex models and large data volumes. - Users experience **performance slowdown** when handling large datasets, impacting their efficiency with SAP Analytics Cloud. #### 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 ### 10. [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 highlight the **exceptional ease of use** of SAP HANA Cloud, enhancing decision-making and collaboration effortlessly. - Users highlight the **easy integrations** of SAP HANA Cloud, enhancing data management and improving overall efficiency. - Users value the **integration capabilities** of SAP HANA Cloud, enhancing data management and unifying their business processes. - Users praise SAP HANA Cloud's **exceptional real-time performance** , significantly enhancing decision-making and collaboration in their operations. - Users commend the **scalability** of SAP HANA Cloud, enabling seamless data handling and flexible resource management for enterprises. **Cons:** - Users note the **complexity of setup and the steep learning curve** , which can hinder their experience with SAP HANA Cloud. - Users express concern over the **high costs** associated with SAP HANA Cloud, especially for smaller businesses managing workloads. - Users note a **steep learning curve** for SAP HANA Cloud, which can complicate onboarding for those new to SAP. - Users find the **difficult learning curve** of SAP HANA Cloud steep, especially for those lacking prior SAP experience. - Users find the **complex setup** of SAP HANA Cloud challenging, especially for specialized use cases and migrations. #### 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) --- ### 11. [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/ (156,424 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 value the **ease of use** of Amazon Forecast, enabling quick and accurate predictions without extensive expertise. - Users appreciate the **forecasting accuracy** of Amazon Forecast, enabling effective demand planning with minimal effort. - Users praise Amazon Forecast for its **accuracy in time-series predictions** , enhancing decision-making and operational planning effortlessly. - Users appreciate the **accurate time-series predictions** Amazon Forecast offers, enabling informed decision-making with minimal ML expertise. - Users appreciate the **high accuracy** of Amazon Forecast, benefiting from reliable results and seamless integration with AWS services. **Cons:** - Users find Amazon Forecast **expensive** when handling large datasets and running frequent predictions, impacting overall cost-effectiveness. - Users find the **setup and configuration process complex** , particularly when dealing with large datasets and AWS services. - Users experience a steep **learning curve** with Amazon Forecast, complicating setup and understanding for smaller businesses. - Users express concerns over the **rapidly escalating costs** associated with larger datasets and frequent model updates. - Users find that managing **large datasets can lead to escalating costs** , requiring careful budget monitoring for effective use. #### 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) --- ### 12. [Dataiku](https://www.g2.com/products/dataiku/reviews) Dataiku is the Platform for AI Success: the AI orchestration layer where enterprises build, deploy, and govern analytics, models, and agents at scale. It sits on top of the data platforms, clouds, and AI services you already use, working across all of them without locking you into any one. Dataiku expands who can build production AI, putting the right tools in the hands of data scientists and domain experts alike, from fraud analysts to demand planners. It orchestrates machine learning, rules, LLMs, and agents as one governed system, built on more than a decade of running production AI. Governance is part of the build rather than something bolted on afterward, so teams ship faster while keeping performance, cost, and risk under control. The result: AI that moves from experimentation to trusted, measurable execution now, not in 18 months. **Average Rating:** 4.4/5.0 **Total Reviews:** 205 **How Do G2 Users Rate Dataiku?** - **Has the product been a good partner in doing business?:** 8.6/10 (Category avg: 8.9/10) - **AI Text Summarization:** 8.3/10 (Category avg: 8.1/10) - **Algorithms:** 8.1/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.7/10 (Category avg: 8.1/10) **Who Is the Company Behind Dataiku?** - **Seller:** [Dataiku](https://www.g2.com/sellers/dataiku) - **Company Website:** https://Dataiku.com - **Year Founded:** 2013 - **HQ Location:** New York, NY - **Twitter:** @dataiku (22,917 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/dataiku/ (1,619 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Scientist, Data Analyst - **Top Industries:** Financial Services, Pharmaceuticals - **Company Size:** 59% Enterprise, 23% Mid-Market #### What Are Dataiku's Pros and Cons? **Pros:** - Features (80 reviews) - Ease of Use (79 reviews) - Usability (45 reviews) - Easy Integrations (43 reviews) - Productivity Improvement (41 reviews) **Cons:** - Learning Curve (43 reviews) - Steep Learning Curve (25 reviews) - Difficult Learning (23 reviews) - Slow Performance (23 reviews) - Expensive (22 reviews) ### What Do G2 Reviewers Say About Dataiku? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of ML development** with Dataiku, allowing them to focus on building effective data models. - Users appreciate the **ease of use** of Dataiku, simplifying complex tasks and enhancing productivity in machine learning development. - Users appreciate the **ease of usability** in Dataiku, enabling collaboration across technical and non-technical users effortlessly. - Users appreciate the **easy integrations** of Dataiku, enabling rapid connection of tools and collaboration across different skill sets. - Users value the **productivity improvement** provided by Dataiku's visual recipes and collaborative environment, enhancing project efficiency. **Cons:** - Users find the **steep learning curve** challenging, especially for beginners and smaller projects, impacting usability. - Users find the **steep learning curve** challenging, particularly for beginners and smaller projects seeking quick results. - Users find the **difficult learning** curve challenging for beginners, impacting their initial experience with Dataiku. - Users experience **slow performance** with Dataiku, particularly when managing large datasets and extensive projects. - Users find Dataiku **expensive** , especially for small companies and projects, making it less accessible to beginners. #### What Are Recent G2 Reviews of Dataiku? **"[VisualML Potente con Limitaciones en Procesamiento Masivo](https://www.g2.com/survey_responses/dataiku-review-12982887)"** **Rating:** 5.0/5.0 stars *— Diego G.* [Read full review](https://www.g2.com/survey_responses/dataiku-review-12982887) --- **"[From idea to model in minutes: Dataiku accelerates the team's work](https://www.g2.com/survey_responses/dataiku-review-12967713)"** **Rating:** 4.5/5.0 stars *— Bill C.* [Read full review](https://www.g2.com/survey_responses/dataiku-review-12967713) --- #### What Are G2 Users Discussing About Dataiku? - [Is Dataiku an ETL tool?](https://www.g2.com/discussions/is-dataiku-an-etl-tool) - [Is Dataiku web based?](https://www.g2.com/discussions/is-dataiku-web-based) - [What is DSS Dataiku?](https://www.g2.com/discussions/what-is-dss-dataiku) - [What is Dataiku DSS used for?](https://www.g2.com/discussions/what-is-dataiku-dss-used-for) ### 13. [Nixtla](https://www.g2.com/products/nixtla/reviews) TimeGPT is a cutting-edge foundation model specifically designed for time series forecasting and anomaly detection. This innovative solution empowers users to harness the full potential of their time series data, enabling more informed decision-making across various domains. With its advanced capabilities, TimeGPT stands out as a pivotal tool for organizations looking to optimize their data-driven strategies. Targeted at data scientists, analysts, and business decision-makers, TimeGPT caters to a wide range of industries, including finance, energy, and meteorology. Its ability to process and analyze vast amounts of time series data makes it an invaluable resource for those seeking to improve operational efficiency, enhance predictive accuracy, and identify unusual patterns that may indicate underlying issues. Whether it’s forecasting stock prices, predicting energy consumption, or analyzing weather trends, TimeGPT provides the necessary tools to tackle complex time series challenges. One of the key features of TimeGPT is its zero-shot inference capability, which allows users to generate forecasts and detect anomalies without the need for prior training data. This feature significantly reduces the time and resources typically required for model training, enabling users to quickly gain insights from their data. Additionally, TimeGPT has been extensively trained on over 100 billion time series data points, ensuring that it can deliver reliable and accurate predictions across various contexts. TimeGPT also offers fine-tuning options, allowing users to adapt the model to their specific datasets. This flexibility ensures that organizations can tailor the model to their unique time series characteristics, enhancing its predictive performance. Furthermore, the model supports the integration of exogenous variables, which can improve forecast accuracy by accounting for external factors that may influence the data. With robust API access, TimeGPT can be seamlessly integrated into existing applications, making it easy for organizations to leverage its capabilities. It is also compatible with Azure Studio and can be deployed on private infrastructure, providing users with the flexibility to choose the deployment method that best suits their needs. The ability to forecast multiple time series simultaneously further optimizes workflows, allowing organizations to manage resources effectively while enhancing their analytical capabilities. In addition to its forecasting prowess, TimeGPT excels in anomaly detection, automatically identifying unusual patterns in time series data. This feature is particularly beneficial for organizations that need to monitor systems in real-time and respond swiftly to potential issues. By incorporating exogenous features, users can further enhance the model's performance, ensuring that they are equipped to handle the complexities of their time series data. **Average Rating:** 4.7/5.0 **Total Reviews:** 50 **How Do G2 Users Rate Nixtla?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.9/10) - **AI Text Summarization:** 4.3/10 (Category avg: 8.1/10) - **Algorithms:** 9.6/10 (Category avg: 8.5/10) - **AI Text Generation:** 4.6/10 (Category avg: 8.1/10) **Who Is the Company Behind Nixtla?** - **Seller:** [Nixtla](https://www.g2.com/sellers/nixtla) - **Company Website:** https://www.nixtla.io/ - **Year Founded:** 2021 - **HQ Location:** San Francisco, US - **LinkedIn® Page:** https://www.linkedin.com/company/nixtlainc (33 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Scientist - **Top Industries:** Computer Software, Retail - **Company Size:** 44% Enterprise, 38% Small-Business #### What Are Nixtla's Pros and Cons? **Pros:** - Ease of Use (30 reviews) - Easy Integrations (16 reviews) - Customer Support (15 reviews) - Machine Learning (13 reviews) - Implementation Ease (12 reviews) **Cons:** - Missing Features (7 reviews) - Expensive (6 reviews) - Lack of Guidance (5 reviews) - Limited Features (5 reviews) - Learning Curve (3 reviews) ### What Do G2 Reviewers Say About Nixtla? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **incredible ease of use** of Nixtla's models, significantly enhancing their forecasting workflow efficiency. - Users highlight the **easy integrations** of Nixtla's tools, enhancing productivity and streamlining forecasting workflows in various environments. - Users commend Nixtla's **responsive customer support** , ensuring quick problem resolution and smooth adoption of their tools. - Users value the **impressive model selection** of Nixtla, enabling easy exploration of advanced forecasting tools. - Users appreciate the **remarkable ease of implementation** of Nixtla, facilitating quick integration and reducing development complexity. **Cons:** - Users note a **lack of essential features** in Nixtla, particularly for beginners and enterprise-grade needs. - Users find Nixtla to be **quite expensive** , making it less accessible for smaller companies and researchers. - Users find a **lack of guidance** in Nixtla, especially for advanced features, complicating the learning curve. - Users note the **limited features** of Nixtla, expressing a desire for a more comprehensive modeling solution. - Users find the **learning curve steep** due to inadequate documentation for advanced configurations and use cases. #### What Are Recent G2 Reviews of Nixtla? **"[Effortless Precision in Market Forecasting](https://www.g2.com/survey_responses/nixtla-review-11452193)"** **Rating:** 5.0/5.0 stars *— Brett R.* [Read full review](https://www.g2.com/survey_responses/nixtla-review-11452193) --- **"[Impressive Forecasting for Environmental Data, but Geospatial Support Needs Improvement](https://www.g2.com/survey_responses/nixtla-review-11907658)"** **Rating:** 4.0/5.0 stars *— Gloria C.* [Read full review](https://www.g2.com/survey_responses/nixtla-review-11907658) --- ### 14. [Pure1 AIOps](https://www.g2.com/products/pure1-aiops/reviews) Pure1 Meta is global intelligence built from a massive collection of storage array health and performance data. By continuously scanning call-home telemetry from Pure’s installed base, Pure1 Meta uses machine learning predictive analytics to help resolve potential issues and optimize your workloads. **Average Rating:** 4.7/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Pure1 AIOps?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10) - **AI Text Summarization:** 10.0/10 (Category avg: 8.1/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) - **AI Text Generation:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Pure1 AIOps?** - **Seller:** [Pure Storage](https://www.g2.com/sellers/pure-storage) - **Year Founded:** 2009 - **HQ Location:** Santa Clara, US - **LinkedIn® Page:** https://www.linkedin.com/company/pure-storage/ (5,365 employees on LinkedIn®) - **Ownership:** PSTG - **Total Revenue (USD mm):** $1,359 **Who Uses This Product?** - **Company Size:** 42% Mid-Market, 33% Enterprise #### What Are Pure1 AIOps's Pros and Cons? **Pros:** - Customer Support (1 reviews) - Ease of Use (1 reviews) - Implementation Ease (1 reviews) - Security (1 reviews) **Cons:** - Cost Issues (1 reviews) - Expensive (1 reviews) ### What Do G2 Reviewers Say About Pure1 AIOps? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **responsive customer support** of Pure1 AIOps, enhancing their overall experience and implementation process. - Users find the **ease of use** of Pure1 AIOps enhances their experience with seamless administration and support. - Users appreciate the **ease of implementation** with the fully built-out system and user-friendly admin console configuration. - Users value the **advanced security features** of Pure1 AIOps, enhancing their system's protection significantly. **Cons:** - Users find the **high upfront cost and subscription fees** challenging to justify and explain. - Users find the **upfront cost and subscription fees** for Pure1 AIOps challenging to justify due to complexity. #### What Are Recent G2 Reviews of Pure1 AIOps? **"[For monitoring cloud storage](https://www.g2.com/survey_responses/pure1-aiops-review-8917532)"** **Rating:** 4.0/5.0 stars *— Ludvi A.* [Read full review](https://www.g2.com/survey_responses/pure1-aiops-review-8917532) --- **"[Pure Storage Systems are more than just Storage](https://www.g2.com/survey_responses/pure1-aiops-review-10478466)"** **Rating:** 4.5/5.0 stars *— Verified User in Higher Education* [Read full review](https://www.g2.com/survey_responses/pure1-aiops-review-10478466) --- #### What Are G2 Users Discussing About Pure1 AIOps? - [What does Pure1 do?](https://www.g2.com/discussions/what-does-pure1-do) - [What is pure storage purity?](https://www.g2.com/discussions/pure1-what-is-pure-storage-purity) - [What is Pure1 Meta?](https://www.g2.com/discussions/what-is-pure1-meta) - [What is Pure1 manage?](https://www.g2.com/discussions/what-is-pure1-manage) ### 15. [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/ (717 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 value the **ease of use** of Minitab, enjoying a seamless and intuitive data analysis experience. - Users find Minitab Statistical Software to be **extremely user-friendly** , greatly enhancing their data analysis experience with diverse options. - Users value the **helpful guides and automation** in Minitab, greatly simplifying complex statistical analysis processes. - Users value the **ease of use and comprehensive methodologies** in Minitab, enhancing their statistical analysis experience. - Users value the **analysis capabilities** of Minitab Statistical Software, enabling effortless and sophisticated statistical evaluations. **Cons:** - Users find the **licensing fees expensive** , especially for infrequent use, impacting affordability for small businesses and students. - Users find the **learning curve steep** , suggesting more training and simplifications to enhance usability and understanding. - Users face **complexity issues** with Minitab due to hidden variables and a clunky data view interface. - Users find Minitab's interface **not user-friendly** , with outdated design and confusing menus complicating the learning experience. - Users face **data management issues** in Minitab, complicating dataset handling and requiring re-running tests with new data. #### 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) ### 16. [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/ (1,101 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, enabling efficient contact management and streamlined outreach processes. - Users value the **seamless automation and integration** of Salesloft, enhancing sales productivity and organization. - Users find the **call tracking and customizable cadences** of Salesloft helpful for optimizing their outreach efforts. - Users value the **automation capabilities** of Salesloft, making call tracking and email blast creation effortless. - Users value the **time-saving capabilities** of Salesloft, enhancing productivity through efficient prospecting and streamlined organization. **Cons:** - Users note a lack of **important features** like domain rotation, video integration, and improved calling capabilities in Salesloft. - Users often face **call issues** with Salesloft, such as misalignment with the app and limitations on inbound calls. - Users are frustrated by **integration issues** with Salesloft, especially regarding HubSpot's functionality and multi-platform communication. - Users find **limitations in features and functionality** of Salesloft, hindering their overall experience and efficiency. - Users experience a **steep learning curve** with Salesloft, making it challenging for new users to navigate effectively. #### 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 ### 17. [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:** 823 **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 appreciate the **ease of use** of Alteryx, enjoying its intuitive drag-and-drop functionality for data automation. - Users value the **automation capabilities** of Alteryx, significantly enhancing efficiency and simplifying complex data processes. - Users find Alteryx to be **very intuitive** , making it effortless for non-technical individuals to learn and use. - Users find Alteryx to be **easy to learn** , making technology accessible for everyone, especially non-technical users. - Users value the **efficiency** of Alteryx, streamlining data processes and enhancing productivity with its intuitive tools. **Cons:** - Users find Alteryx **expensive** , making it challenging for small teams to justify the high licensing costs. - Users note a **steep learning curve** with Alteryx, especially for beginners tackling complex operations and features. - Users note the **missing features** in Alteryx, particularly in reporting, connectivity, and support for Mac. - Users find the **learning difficulty** of Alteryx steep, making it challenging for newcomers and hardcore SQL users. - Users often face **slow performance** issues with Alteryx, especially when handling large workflows and data wrangling tasks. #### 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) --- ### 18. [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 find Pecan's platform to be **extremely easy to use** , enabling quick model building for effective predictions. - Users commend the **exceptional customer support** from Pecan, highlighting their prompt and knowledgeable assistance throughout the process. - Users highlight the **speed of development** , enabling rapid model deployment and faster transitions from experimentation to production. - Users commend Pecan for its **exceptional support and effective problem-solving** , enhancing data-driven decision-making processes. - Users appreciate the **implementation ease** of Pecan, enabling rapid deployment of predictive models with excellent support. **Cons:** - Users find **learning difficulties** with Pecan, needing SQL knowledge and time to understand data structures effectively. - Users feel the **lack of customization and control** over model selection hinders their ability to tailor solutions effectively. - Users desire more **control over models and custom metrics** , as current limitations hinder tailored solutions for specific needs. - Users find a **steep learning curve** initially, especially in understanding data structure and SQL requirements. - Users express a need for **greater customization** , wishing for control over model selection and optimization metrics. #### 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) --- ### 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:** 593 **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/ (282 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 (34 reviews) - Intuitive (30 reviews) - Customization (28 reviews) **Cons:** - Learning Curve (27 reviews) - Learning Difficulty (19 reviews) - Missing Features (19 reviews) - Complexity (13 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 reporting and seamless integration with data systems. - Users appreciate the **ease of creating dashboards and visualizations** , making data analysis accessible for everyone. - Users appreciate the **quick and seamless integrations** of GoodData.AI, enhancing overall functionality and support. - Users find GoodData.AI's **intuitive user interface** makes it easy for new users to navigate and create reports. - Users value the **customization options** of GoodData.AI, enabling tailored solutions for diverse business needs and insights. **Cons:** - Users experience a **steep learning curve** with GoodData, making it challenging to quickly adapt to business needs. - Users find **learning GoodData.AI difficult** for beginners, especially those unfamiliar with relational databases and documentation inconsistencies. - Users miss several essential features, including **lack of version control** and limited customization options in GoodData.AI. - Users find the **complexity of GoodData.AI** challenging, especially regarding its features and user experience. - Users find the **limited customization** options restrict their ability to tailor GoodData.AI to complex data needs. #### 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. [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 find APEX to have **exceptional ease of use** , enabling effortless data access and analysis with excellent support. - Users appreciate the **fast and responsive customer support** from APEX, aiding collaboration and project management effectively. - Users value the **effective inventory management** features of APEX, enabling streamlined supply chain monitoring and risk anticipation. - Users value the **visibility and structure** LeanDNA provides, enhancing supplier communication and performance monitoring efficiently. - Users highlight the **time-saving benefits** of APEX, enjoying intuitive workflows and efficient analytics for daily tasks. **Cons:** - Users find the **complex usability** of APEX frustrating, often requiring assistance to navigate reports and integrations. - Users express frustration with **limited customization** , especially regarding field names and legacy report modifications. - Users express a desire for **missing features** , particularly in filtering demand and supplier performance adjustments. - Users observe **data inaccuracy** due to program customization and lack of real-time updates, complicating their experience. - Users find the **learning curve steep** and report difficulties understanding features, though support helps improve confidence 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) --- ### 21. [Microland smartThink](https://www.g2.com/products/microland-smartthink/reviews) Manage IT specific issues around networks, servers, storage, applications, middleware, IoT, cloud deployments, etc., with real-time data analysis and correlation **Average Rating:** 4.7/5.0 **Total Reviews:** 10 **How Do G2 Users Rate Microland smartThink?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **AI Text Summarization:** 9.0/10 (Category avg: 8.1/10) - **Algorithms:** 8.5/10 (Category avg: 8.5/10) - **AI Text Generation:** 9.4/10 (Category avg: 8.1/10) **Who Is the Company Behind Microland smartThink?** - **Seller:** [Microland](https://www.g2.com/sellers/microland-1ab552b6-0e70-41c3-8841-1de035fc3822) - **Year Founded:** 1989 - **HQ Location:** Bangalore - **Twitter:** @MicrolandLtd (2,252 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/microland (6,520 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Enterprise, 30% Mid-Market #### What Are Microland smartThink's Pros and Cons? **Pros:** - Business Growth (1 reviews) - Customization (1 reviews) - Dashboard Management (1 reviews) - Ease of Learning (1 reviews) - Ease of Use (1 reviews) **Cons:** - Compatibility Issues (1 reviews) - Cost Issues (1 reviews) - Lack of Guidance (1 reviews) ### What Do G2 Reviewers Say About Microland smartThink? *AI-generated summary from verified user reviews* **Pros:** - Users value the **business growth opportunities** provided by Microland smartThink, enabling them to learn and advance in their careers. - Users value the **customizable dashboard** of Microland smartThink, enhancing their learning experience and career growth. - Users value the **user-friendly customizable dashboard** in Microland smartThink, enhancing their learning and career development. - Users value the **ease of learning** with Microland smartThink, enhancing career growth and providing a user-friendly experience. - Users value the **ease of use** of Microland smartThink, enhancing their learning and career growth opportunities. **Cons:** - Users face **compatibility issues** with Microland smartThink, impacting its integration with other systems. - Users feel that **cost issues** hinder the overall value of Microland smartThink, impacting satisfaction and usability. - Users express concern over the **lack of guidance** in using Microland smartThink effectively. #### What Are Recent G2 Reviews of Microland smartThink? **"[Microland smartThink is not the only option for Predictive Analytics Software.](https://www.g2.com/survey_responses/microland-smartthink-review-10232265)"** **Rating:** 5.0/5.0 stars *— Ramesh C.* [Read full review](https://www.g2.com/survey_responses/microland-smartthink-review-10232265) --- **"[Great Productive career growth firm](https://www.g2.com/survey_responses/microland-smartthink-review-9997112)"** **Rating:** 5.0/5.0 stars *— Junaid Siddiqui M.* [Read full review](https://www.g2.com/survey_responses/microland-smartthink-review-9997112) --- ### 22. [JMP](https://www.g2.com/products/jmp/reviews) JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed. Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect. To see a full list of data connectors please visit https://www.jmp.com/en/software/analytic-workflow/data-connectors **Average Rating:** 4.5/5.0 **Total Reviews:** 206 **How Do G2 Users Rate JMP?** - **Has the product been a good partner in doing business?:** 8.9/10 (Category avg: 8.9/10) - **AI Text Summarization:** 10.0/10 (Category avg: 8.1/10) - **Algorithms:** 8.7/10 (Category avg: 8.5/10) - **AI Text Generation:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind JMP?** - **Seller:** [JMP Statistical Discovery](https://www.g2.com/sellers/jmp-statistical-discovery) - **Company Website:** https://www.jmp.com - **Year Founded:** 1989 - **HQ Location:** Cary, North Carolina - **Twitter:** @JMP_software (2,760 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/jmp/ (1,031 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Student - **Top Industries:** Higher Education, Information Technology and Services - **Company Size:** 42% Enterprise, 33% Small-Business #### What Are JMP's Pros and Cons? **Pros:** - Ease of Use (10 reviews) - Data Visualization (9 reviews) - Statistical Analysis (5 reviews) - Visualization (5 reviews) - User Interface (4 reviews) **Cons:** - Expensive (6 reviews) - Learning Curve (4 reviews) - Limited Flexibility (4 reviews) - Learning Difficulty (3 reviews) - Limitations in Storage (2 reviews) ### What Do G2 Reviewers Say About JMP? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** in JMP, allowing effortless data exploration and clear visual analytics. - Users highlight the **easy and interactive data visualization** in JMP, making analysis and trend spotting seamless. - Users appreciate the **ease of statistical analysis** in JMP, enabling effortless data exploration and clear visualizations. - Users appreciate the **easy data visualization** of JMP, allowing for intuitive exploration and clear trend identification. - Users appreciate the **intuitive and interactive interface** of JMP, making data analysis and visualization effortless. **Cons:** - Users find JMP to be **expensive** , making it a tough choice for small users seeking budget-friendly options. - New users may face a **steep learning curve** with JMP’s complex interface and advanced features, impacting accessibility. - Users find JMP offers **limited flexibility** due to restricted model options and integration challenges with other tools. - Users find JMP's **learning difficulty** challenging due to its overwhelming interface and steep learning curve for advanced features. - Users find **limitations in storage** with JMP, facing challenges with model availability and integration with other tools. #### What Are Recent G2 Reviews of JMP? **"[JMP Software: Good Tool, Few Downsides](https://www.g2.com/survey_responses/jmp-review-11188568)"** **Rating:** 4.0/5.0 stars *— Verified User in Pharmaceuticals* [Read full review](https://www.g2.com/survey_responses/jmp-review-11188568) --- **"[Intuitive Visual Analytics, Powerful Tools—But Resource-Heavy and Pricey](https://www.g2.com/survey_responses/jmp-review-11859383)"** **Rating:** 4.5/5.0 stars *— Ganesh W.* [Read full review](https://www.g2.com/survey_responses/jmp-review-11859383) --- #### What Are G2 Users Discussing About JMP? - [What is JMP used for?](https://www.g2.com/discussions/what-is-jmp-used-for) - 1 comment - [Who uses JMP?](https://www.g2.com/discussions/who-uses-jmp) - 3 comments - [Is JMP software validated?](https://www.g2.com/discussions/is-jmp-software-validated) - 1 comment - [What is the difference between JMP and JMP Pro?](https://www.g2.com/discussions/what-is-the-difference-between-jmp-and-jmp-pro) - [What is JMP software used for?](https://www.g2.com/discussions/what-is-jmp-software-used-for) - 1 comment ### 23. [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 love the **ease of use** of Qlik Sense, making data integration and collaboration simple and effective. - Users value the **robust data visualization capabilities** of Qlik Sense, enabling insightful analysis and collaboration. - Users appreciate the **quick development and deployment capabilities** of Qlik Sense for creating effective analytics applications. - Users value the **robust data visualization capabilities** of Qlik Sense, enhancing insights for better business decisions. - Users appreciate the **versatile tools** of Qlik Sense, enhancing ease of use and facilitating complex data integration. **Cons:** - Users find the **limited features** of Qlik Sense restrict their ability to create diverse visualizations efficiently. - Users miss the **missing features** of Qlik Sense, such as personal object creation and comprehensive reporting options. - Users find Qlik Sense **very expensive** , which impacts its accessibility and overall value for data analysis. - Users note the need for improved **data management** as manual updates and organization issues hinder their experience. - Users find the **learning curve steep** in Qlik Sense, with complex functions that challenge beginners and require extensive training. #### 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 ### 24. [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 value the **automation features** of Qlik Predict, enabling rapid model building without requiring technical expertise. - Users value the **ease of use** of Qlik Predict, facilitating no-code project implementations even for non-experts. - Users appreciate the **intuitive AI integration** of Qlik Predict, enabling rapid model development without extensive technical skills. - Users value the **intuitive, no-code interface** of Qlik Predict, enabling efficient machine learning model creation without technical expertise. - Users appreciate the **user-friendly AI capabilities** of Qlik Predict, enabling accessible and seamless predictive analytics integration. **Cons:** - Users note the **limited customization** of Qlik Predict, restricting flexibility for advanced machine learning tasks. - Users report **deployment issues** with Qlik Predict, as flexibility is limited for integration with external workflows. - Users note the **limited customization and deployment options** , which hinder flexibility for advanced and diverse workflows. - Users note that a strong **required knowledge of data science** is essential to optimize and interpret results effectively. - Users find the **tool limitations** of Qlik Predict restrictive, hindering advanced customization and deployment flexibility. #### 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) ### 25. [Board](https://www.g2.com/products/board/reviews) Board is the Enterprise Planning Platform built to accelerate business performance and enable continuous planning with greater forecast accuracy to drive confident, aligned decisions. Its fully integrated planning solution spans the entire enterprise, delivering value for financial and operational planning in one unified platform. Using internal data and expert-curated external indicators, Board provides real-time visibility into your business. Board offers the most flexible, collaborative and adaptive user experience, powering executive dashboards and analytic capabilities that allows clear explanation and interpretation delivered through generative AI. This allows organizations to respond in an agile manner: capitalize on opportunities, optimize resources and mitigate risks. **Average Rating:** 4.4/5.0 **Total Reviews:** 300 **How Do G2 Users Rate Board?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10) - **AI Text Summarization:** 6.3/10 (Category avg: 8.1/10) - **Algorithms:** 8.6/10 (Category avg: 8.5/10) - **AI Text Generation:** 6.7/10 (Category avg: 8.1/10) **Who Is the Company Behind Board?** - **Seller:** [Board International](https://www.g2.com/sellers/board-international) - **Company Website:** https://www.board.com - **Year Founded:** 1994 - **HQ Location:** Chiasso, Ticino - **Twitter:** @BoardSoftware (27,073 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/98246/ (932 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, Software Developer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 57% Mid-Market, 40% Enterprise #### What Are Board's Pros and Cons? **Pros:** - Ease of Use (26 reviews) - Flexibility (21 reviews) - Features (20 reviews) - Efficiency (18 reviews) - Customization (16 reviews) **Cons:** - Slow Performance (9 reviews) - Learning Curve (8 reviews) - Missing Features (8 reviews) - Poor Visualization (8 reviews) - Complexity (7 reviews) ### What Do G2 Reviewers Say About Board? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Board, enabling quick deployment and intuitive interactions for effective decision making. - Users value the **flexibility** of Board, as it adapts seamlessly to diverse business needs and processes. - Users value the **centralized access to information** provided by Board, enhancing organization and collaboration during meetings. - Users appreciate the **efficiency** of Board, streamlining document management and reducing time spent on administrative tasks. - Users appreciate the **flexible customization** of Board, allowing tailored solutions for diverse business needs. **Cons:** - Users experience **slow performance** with large datasets and find the initial setup to be quite complex. - Users find the **learning curve steep** for Board, as initial setup and advanced features require significant training and experience. - Users note the **missing features** such as "exclude" options and certain computations, impacting usability for some tasks. - Users note **poor visualization** in Board, finding dashboard design and data representation less efficient than competing tools. - Users find Board's **complexity in configuration** challenging, particularly for new users and smaller teams. #### What Are Recent G2 Reviews of Board? **"[Quick, Very Flexibly and Ease-to-use Planning Tool](https://www.g2.com/survey_responses/board-review-7273494)"** **Rating:** 5.0/5.0 stars *— Verified User in Glass, Ceramics & Concrete* [Read full review](https://www.g2.com/survey_responses/board-review-7273494) --- **"[Almost Unlimited Flexibility Across Data Models, Workflows, and Reports](https://www.g2.com/survey_responses/board-review-12625234)"** **Rating:** 4.5/5.0 stars *— Peter T.* [Read full review](https://www.g2.com/survey_responses/board-review-12625234) --- #### What Are G2 Users Discussing About Board? - [What is Board used for?](https://www.g2.com/discussions/what-is-board-used-for) - 1 upvote ## 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.