# Best Predictive Analytics Tools and Software - Page 3 *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 (3,663 reviews) | Visual data storytelling with drag-and-drop forecasting | "[Clear data means quick decisions.](https://www.g2.com/survey_responses/tableau-review-13124621)" | | 2 | [Clari](https://www.g2.com/products/clari/reviews) | 4.6/5.0 (5,503 reviews) | AI-driven revenue forecasting inside Salesforce pipelines | "[Clari Platform Review from a RevOps Perspective](https://www.g2.com/survey_responses/clari-review-12400239)" | | 3 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (770 reviews) | Enterprise ML model governance with low-code deployment | "[Powerful Integration, Effortless Customization](https://www.g2.com/survey_responses/sas-viya-review-13109700)" | | 4 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,144 reviews) | SQL-based ML modeling on petabyte-scale datasets | "[Easy-to-Use Cloud Tool with Shareable, Saved Queries](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)" | | 5 | [Adobe Analytics](https://www.g2.com/products/adobe-analytics/reviews) | 4.2/5.0 (1,171 reviews) | Cross-channel customer journey analytics with Adobe integration | "[Powerful, Detailed Insights with Customizable Dashboards in Adobe Analytics](https://www.g2.com/survey_responses/adobe-analytics-review-12644645)" | | 6 | [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews) | 4.1/5.0 (438 reviews) | Enterprise forecasting with governed data models | "[Powerful, Scalable Analytics with Interactive Dashboards and Strong Governance](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018)" | | 7 | [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews) | 4.3/5.0 (675 reviews) | AWS-native dashboards with ML-powered forecasting | "[Fast, Serverless BI with Seamless AWS Integration](https://www.g2.com/survey_responses/amazon-quicksight-review-11692248)" | | 8 | [IBM SPSS Statistics](https://www.g2.com/products/ibm-spss-statistics/reviews) | 4.2/5.0 (893 reviews) | Point-and-click statistical modeling for non-programmers | "[Efficient, Reliable Statistical Analysis with an Approachable UI in IBM SPSS Statistics](https://www.g2.com/survey_responses/ibm-spss-statistics-review-12829044)" | | 9 | [SAP Analytics Cloud](https://www.g2.com/products/sap-analytics-cloud/reviews) | 4.2/5.0 (751 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 ## G2 Grid® for Predictive Analytics Software ![G2 Grid® for Predictive Analytics Software plotting products by satisfaction and market presence](https://www.g2.com/categories/predictive-analytics/grids.png?focus%5B%5D=1213&focus%5B%5D=7788&focus%5B%5D=1327283&focus%5B%5D=6073&focus%5B%5D=612&focus%5B%5D=3558&focus%5B%5D=20158&focus%5B%5D=4350) Highlighted products: Tableau, Clari, SAS Viya, Google Cloud BigQuery, IBM Cognos Analytics, Adobe Analytics, Amazon QuickSight, and IBM SPSS Statistics. Underlying data: [Grid® JSON](https://www.g2.com/categories/predictive-analytics/grids.json?focus%5B%5D=tableau&focus%5B%5D=clari&focus%5B%5D=sas-sas-viya&focus%5B%5D=google-cloud-bigquery&focus%5B%5D=ibm-cognos-analytics&focus%5B%5D=adobe-analytics&focus%5B%5D=amazon-quicksight&focus%5B%5D=ibm-spss-statistics) ## How Many Predictive Analytics Software Products Does G2 Track? **Total Products under this Category:** 295 ### Category Stats (Jul 2026) - **Average Rating**: 4.44/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: KNIME (+1.56%) - Among all products in this category, KNIME recorded the largest rating increase compared to last month *Last updated: July 17, 2026* ## How Does G2 Rank Predictive Analytics Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 30,700+ Authentic Reviews - 295+ 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%5Bchosen_at%5D=2026-07-18T08%3A09%3A04Z&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%3Fopen_modal_url%3D%252Fproducts%252Faltair-slc%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fpredictive-analytics%2526source%253Dcategory&secure%5Btoken%5D=c83a027fcc05fe8e62c24dd85864c219cab65518b5911199979fd9bb28339cee&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. [Prophet](https://www.g2.com/products/prophet-2024-03-29/reviews) Prophet is a world-class predictive intelligence platform that utilises advanced mathematics, machine-learning and human intervention to ensure organisations can make better decisions, daily. **Average Rating:** 4.2/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Prophet?** - **Has the product been a good partner in doing business?:** 9.2/10 (Category avg: 8.9/10) - **Algorithms:** 8.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Prophet?** - **Seller:** [Prophet](https://www.g2.com/sellers/prophet) - **HQ Location:** San Francisco, CA - **Twitter:** @prophetstrategy (8,586 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/prophet (719 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 33% Enterprise #### What Are Prophet's Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Efficiency (1 reviews) - Flexibility (1 reviews) **Cons:** - Complex Implementation (1 reviews) ### What Do G2 Reviewers Say About Prophet? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Prophet, finding it straightforward to implement and flexible with Python and R. - Users value the **efficiency** of Prophet, appreciating its quick, accurate forecasting and ease of use in Python and R. - Users value the **flexibility** of Prophet, appreciating its ease of use in both Python and R for forecasting. **Cons:** - Users find **complex implementation** of multi-variate forecasting in Prophet challenging, affecting their overall experience. #### What Are Recent G2 Reviews of Prophet? **"[Powerful Predictive Analytics Tool](https://www.g2.com/survey_responses/prophet-review-9865702)"** **Rating:** 4.0/5.0 stars *— João S.* [Read full review](https://www.g2.com/survey_responses/prophet-review-9865702) --- **"[A Solid Tool with Great Features](https://www.g2.com/survey_responses/prophet-review-9891675)"** **Rating:** 4.0/5.0 stars *— Miguel R.* [Read full review](https://www.g2.com/survey_responses/prophet-review-9891675) --- ### 2. [TIMi](https://www.g2.com/products/timi/reviews) TIMi is the most efficient Data Science and Data Processing Platform. Since 2007, we have been creating and improving the most powerful framework to push the barriers of analytics, predictive analytics, AI and Big Data, while offering a helpful, fast and friendly environment. The TIMi Suite consists of four tools: 1. Anatella (Analytical ETL, Data Prep & Big Data), 2. Modeler (Auto-ML / Automated Predictive Modelling / Automated-AI), 3. StarDust (3D Segmentation) 4. Kibella (BI Dashboarding solution). TIMi dominates the Data Science market: In the "Summer 2022 - Momentum Report” from G2, in the “Data Science” category, TIMi has the #1 rank: TIMi is the Data Science solution with both the highest market growth and the highest customer-satisfaction! More about this subject here: https://timi.eu/blog/timi-the-number-one-data-science-platform/ **Average Rating:** 4.8/5.0 **Total Reviews:** 50 **How Do G2 Users Rate TIMi?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 8.9/10) - **AI Text Summarization:** 8.3/10 (Category avg: 8.1/10) - **Algorithms:** 9.1/10 (Category avg: 8.5/10) - **AI Text Generation:** 9.2/10 (Category avg: 8.1/10) **Who Is the Company Behind TIMi?** - **Seller:** [TIMi SPRL](https://www.g2.com/sellers/timi-sprl) - **Year Founded:** 2007 - **HQ Location:** Brussels - **Twitter:** @TIMiSuite (3,532 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/timisuite/ (86 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Banking - **Company Size:** 40% Small-Business, 32% Enterprise #### What Are TIMi's Pros and Cons? **Pros:** - Customer Support (2 reviews) - Ease of Use (2 reviews) - Features (2 reviews) - Automation (1 reviews) - Charting Features (1 reviews) ### What Do G2 Reviewers Say About TIMi? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **exceptional customer support** from the TIMi team, highlighting their quick responses and helpfulness. - Users find TIMi's platform incredibly **user-friendly** , facilitating intuitive navigation and quick learning for efficient data transformation. - Users appreciate the **user-friendly interface and exceptional team support** of TIMi, enhancing productivity and efficiency. - Users praise the **automation capabilities** of TIMi, noting its speed and ease of use for data transformations. - Users love the **fast and intuitive charting features** of TIMi, enabling quick data transformations and analysis. #### What Are Recent G2 Reviews of TIMi? **"[Effortless ETL with Potential for ML Growth](https://www.g2.com/survey_responses/timi-review-12545228)"** **Rating:** 4.0/5.0 stars *— Zainab Y.* [Read full review](https://www.g2.com/survey_responses/timi-review-12545228) --- **"[TIMi and Anatella: fast, scalable, and efficient ML pipeline for very large volumes](https://www.g2.com/survey_responses/timi-review-12712058)"** **Rating:** 5.0/5.0 stars *— Hugo D.* [Read full review](https://www.g2.com/survey_responses/timi-review-12712058) --- #### What Are G2 Users Discussing About TIMi? - [What is TIMi Suite used for?](https://www.g2.com/discussions/what-is-timi-suite-used-for) - 1 comment ### 3. [Akkio](https://www.g2.com/products/akkio/reviews) Akkio is the AI platform that empowers media companies to lead the market with AI. By partnering with cutting-edge AI agents, media teams streamline the entire campaign lifecycle, delivering tailored results for every client. Built on an AI-first foundation with an intuitive interface, Akkio equips every team member with powerful intelligence, helping companies grow, teams thrive, and clients win. **Average Rating:** 4.5/5.0 **Total Reviews:** 14 **How Do G2 Users Rate Akkio?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **AI Text Summarization:** 7.8/10 (Category avg: 8.1/10) - **Algorithms:** 9.4/10 (Category avg: 8.5/10) - **AI Text Generation:** 7.8/10 (Category avg: 8.1/10) **Who Is the Company Behind Akkio?** - **Seller:** [Akkio Inc.](https://www.g2.com/sellers/akkio-inc) - **Year Founded:** 2019 - **HQ Location:** Cambridge, US - **Twitter:** @AkkioHQ (5,355 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/akkio/ (57 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 64% Small-Business, 14% Enterprise #### What Are Akkio's Pros and Cons? **Pros:** - AI Integration (1 reviews) - Machine Learning (1 reviews) **Cons:** - Insufficient Learning Resources (1 reviews) ### What Do G2 Reviewers Say About Akkio? *AI-generated summary from verified user reviews* **Pros:** - Users find the **generative AI integration** in Akkio exceptionally helpful for enhancing their data analytics experience. - Users find that **generative AI functionality** greatly enhances their experience with Akkio, streamlining their workflows effectively. **Cons:** - Users express dissatisfaction with the **insufficient learning resources** , finding documentation lacking and unhelpful. #### What Are Recent G2 Reviews of Akkio? **"[Checks all of our boxes. Ease of use, responsive team, great product.](https://www.g2.com/survey_responses/akkio-review-8840981)"** **Rating:** 5.0/5.0 stars *— Jim C.* [Read full review](https://www.g2.com/survey_responses/akkio-review-8840981) --- **"[Brilliant support and great product](https://www.g2.com/survey_responses/akkio-review-8835860)"** **Rating:** 5.0/5.0 stars *— Andrew K.* [Read full review](https://www.g2.com/survey_responses/akkio-review-8835860) --- ### 4. [Wand.ai](https://www.g2.com/products/wand-ai/reviews) Wand platform, enables business users and data analysts to solve real-world business problems easily and quickly – Collaborative, measurable and scalable. **Average Rating:** 3.8/5.0 **Total Reviews:** 15 **How Do G2 Users Rate Wand.ai?** - **AI Text Summarization:** 8.7/10 (Category avg: 8.1/10) - **Algorithms:** 7.5/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Wand.ai?** - **Seller:** [Wand.ai](https://www.g2.com/sellers/wand-ai) - **Year Founded:** 2022 - **HQ Location:** San Francisco, Bay Area, US - **LinkedIn® Page:** https://www.linkedin.com/company/wand1 (183 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Small-Business, 33% Mid-Market #### What Are Wand.ai's Pros and Cons? **Pros:** - Ease of Learning (1 reviews) - Ease of Use (1 reviews) - Flexibility (1 reviews) - Intuitive (1 reviews) - Speed (1 reviews) **Cons:** - Difficult Customization (1 reviews) - Limited Features (1 reviews) - Slow Performance (1 reviews) ### What Do G2 Reviewers Say About Wand.ai? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of learning** with Wand.ai, finding its intuitive design enhances productivity and adaptability. - Users appreciate the **ease of use** of Wand.ai, enjoying a clean interface that simplifies AI interactions. - Users appreciate the **flexibility** of Wand.ai, enabling easy adaptation to various use cases and workflows. - Users find Wand.ai **intuitive** , enabling effortless interaction with AI and quick results without extensive learning. - Users appreciate the **speed** of Wand.ai, significantly enhancing productivity in content creation and idea generation. **Cons:** - Users find the **difficult customization** limits the effectiveness of Wand.ai, affecting usability and reliability. - Users find that the **limited features** on Wand.ai hinder its usability unless subscribed to a higher plan. - Users have experienced **slow performance** with Wand.ai, particularly during heavy usage, impacting functionality and responsiveness. #### What Are Recent G2 Reviews of Wand.ai? **"[Effortless AI Integration with Intuitive Design](https://www.g2.com/survey_responses/wand-ai-review-12086091)"** **Rating:** 4.0/5.0 stars *— Arjunsinh M.* [Read full review](https://www.g2.com/survey_responses/wand-ai-review-12086091) --- **"[Transformative Conversations with wand.ai](https://www.g2.com/survey_responses/wand-ai-review-9165000)"** **Rating:** 4.0/5.0 stars *— AMIN S.* [Read full review](https://www.g2.com/survey_responses/wand-ai-review-9165000) --- ### 5. [Metaps](https://www.g2.com/products/metaps/reviews) Metaps provides one SDK that analyzes and provides essential data for marketing, promotions, and monetization. **Average Rating:** 4.2/5.0 **Total Reviews:** 16 **How Do G2 Users Rate Metaps?** - **AI Text Summarization:** 9.4/10 (Category avg: 8.1/10) - **Algorithms:** 9.3/10 (Category avg: 8.5/10) - **AI Text Generation:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Metaps?** - **Seller:** [Metaps](https://www.g2.com/sellers/metaps) - **Year Founded:** 2023 - **HQ Location:** 渋谷区, JP - **Twitter:** @Metaps_PR (4,053 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/metaps (48 employees on LinkedIn®) - **Ownership:** TYO: 6172 **Who Uses This Product?** - **Company Size:** 53% Small-Business, 41% Mid-Market #### What Are Recent G2 Reviews of Metaps? **"[Metaps Review](https://www.g2.com/survey_responses/metaps-review-8272589)"** **Rating:** 5.0/5.0 stars *— Sneha K.* [Read full review](https://www.g2.com/survey_responses/metaps-review-8272589) --- **"[Business made easy with Metaps](https://www.g2.com/survey_responses/metaps-review-8483830)"** **Rating:** 5.0/5.0 stars *— Aliya S.* [Read full review](https://www.g2.com/survey_responses/metaps-review-8483830) --- ### 6. [Spotfire Statistica](https://www.g2.com/products/statistica/reviews) Statistica helps you innovate and solve complex problems faster, empower more people, and infuse algorithms everywhere to ensure insights quickly turn into optimal outcomes. **Average Rating:** 4.1/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Spotfire Statistica?** - **Has the product been a good partner in doing business?:** 9.6/10 (Category avg: 8.9/10) - **Algorithms:** 9.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Spotfire Statistica?** - **Seller:** [Spotfire](https://www.g2.com/sellers/spotfire-2d87c926-94f3-47ce-8a5d-44d930d7c744) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/spotfire/ (103 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 38% Small-Business, 31% Enterprise #### What Are Recent G2 Reviews of Spotfire Statistica? **"[TIBCO STATISTICA ,BEST TOOL FOR DATA ANALYSIS AND STATISTICAL MODELING](https://www.g2.com/survey_responses/spotfire-statistica-review-8120639)"** **Rating:** 5.0/5.0 stars *— Verified User in Chemicals* [Read full review](https://www.g2.com/survey_responses/spotfire-statistica-review-8120639) --- **"[Ultimate software for statistics and data science](https://www.g2.com/survey_responses/spotfire-statistica-review-8123988)"** **Rating:** 5.0/5.0 stars *— Luigi R.* [Read full review](https://www.g2.com/survey_responses/spotfire-statistica-review-8123988) --- #### What Are G2 Users Discussing About Spotfire Statistica? - [Is Statistica open source?](https://www.g2.com/discussions/is-statistica-open-source) - [Is Statistica software free?](https://www.g2.com/discussions/is-statistica-software-free) - [What is Statistica enterprise?](https://www.g2.com/discussions/what-is-statistica-enterprise) - 1 comment - [What is Statistica used for?](https://www.g2.com/discussions/what-is-statistica-used-for) ### 7. [IQub Business Intelligence Reporting Solutions](https://www.g2.com/products/iqub-business-intelligence-reporting-solutions/reviews) eBusiness Advisor tracks and monitors your business to provide insight into your business, highlighting what is working well and what isn't. Designed for simplicity but built for performance, eBusiness Advisor puts key information in the hands of those that need it. **Average Rating:** 4.5/5.0 **Total Reviews:** 14 **How Do G2 Users Rate IQub Business Intelligence Reporting Solutions?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10) - **AI Text Summarization:** 10.0/10 (Category avg: 8.1/10) - **Algorithms:** 8.3/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind IQub Business Intelligence Reporting Solutions?** - **Seller:** [IQub Business Intelligence](https://www.g2.com/sellers/iqub-business-intelligence) - **Year Founded:** 2006 - **HQ Location:** Saint-Petersburg - **LinkedIn® Page:** https://www.linkedin.com/company/iqub/about (4 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 47% Mid-Market, 47% Small-Business #### What Are Recent G2 Reviews of IQub Business Intelligence Reporting Solutions? **"[Unleashing the Power of Data-driven Decisions](https://www.g2.com/survey_responses/iqub-business-intelligence-reporting-solutions-review-8326276)"** **Rating:** 4.5/5.0 stars *— Shubham G.* [Read full review](https://www.g2.com/survey_responses/iqub-business-intelligence-reporting-solutions-review-8326276) --- **"[Great experience and knowledge with IQub](https://www.g2.com/survey_responses/iqub-business-intelligence-reporting-solutions-review-8281407)"** **Rating:** 5.0/5.0 stars *— Nikita J.* [Read full review](https://www.g2.com/survey_responses/iqub-business-intelligence-reporting-solutions-review-8281407) --- ### 8. [Faraday](https://www.g2.com/products/faraday/reviews) Through both an intuitive, no-code UI and a robust API, Faraday enables the modern marketer to easily describe and deploy predictions for virtually any customer behavior–no PhD required. Make your marketing strategies proactive by using proven machine learning techniques to predict for propensity to buy, convert, churn, and more. With hundreds of integrations, Faraday lets you embed AI in workflows throughout your stack to make your favorite tools perform even better. Try it for free. **Average Rating:** 3.4/5.0 **Total Reviews:** 14 **How Do G2 Users Rate Faraday?** - **Has the product been a good partner in doing business?:** 8.8/10 (Category avg: 8.9/10) - **AI Text Summarization:** 6.1/10 (Category avg: 8.1/10) - **Algorithms:** 6.9/10 (Category avg: 8.5/10) - **AI Text Generation:** 6.1/10 (Category avg: 8.1/10) **Who Is the Company Behind Faraday?** - **Seller:** [Faraday](https://www.g2.com/sellers/faraday) - **Year Founded:** 2012 - **HQ Location:** Burlington, VT - **Twitter:** @faradayai_ (375 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/faradayai/ (45 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 43% Small-Business #### What Are Recent G2 Reviews of Faraday? **"[Easy to use modeling tool!](https://www.g2.com/survey_responses/faraday-review-8660321)"** **Rating:** 4.0/5.0 stars *— Suvranil B.* [Read full review](https://www.g2.com/survey_responses/faraday-review-8660321) --- **"[Fast Follow-ups and Lots of Features](https://www.g2.com/survey_responses/faraday-review-8644586)"** **Rating:** 4.0/5.0 stars *— Verified User in Hospital & Health Care* [Read full review](https://www.g2.com/survey_responses/faraday-review-8644586) --- #### What Are G2 Users Discussing About Faraday? - [What is Faraday used for?](https://www.g2.com/discussions/what-is-faraday-used-for) ### 9. [Hyllo](https://www.g2.com/products/hyllo/reviews) Hyllo is a comprehensive platform designed to streamline and enhance communication and collaboration within organizations. It offers a suite of tools that facilitate seamless interaction among team members, ensuring efficient project management and information sharing. By integrating various communication channels into a single interface, Hyllo simplifies workflows and reduces the need for multiple disparate tools. Key Features and Functionality: - Unified Communication: Combines messaging, video conferencing, and file sharing in one platform, enabling real-time collaboration. - Project Management Tools: Provides task assignment, progress tracking, and deadline management to keep projects on schedule. - Integration Capabilities: Seamlessly integrates with popular third-party applications, enhancing productivity without disrupting existing workflows. - Customizable Workspaces: Allows teams to create tailored environments that suit their specific needs and preferences. - Security and Compliance: Ensures data protection with robust security measures and compliance with industry standards. Primary Value and Solutions: Hyllo addresses the common challenges of fragmented communication and disjointed project management by offering a centralized platform that fosters transparency and efficiency. It eliminates the need for multiple tools, reducing complexity and costs. By enhancing collaboration and streamlining processes, Hyllo empowers teams to achieve their goals more effectively and with greater cohesion. **Average Rating:** 4.3/5.0 **Total Reviews:** 27 **How Do G2 Users Rate Hyllo?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10) - **AI Text Summarization:** 8.5/10 (Category avg: 8.1/10) - **Algorithms:** 8.8/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.4/10 (Category avg: 8.1/10) **Who Is the Company Behind Hyllo?** - **Seller:** [Hyllo Analytics](https://www.g2.com/sellers/hyllo-analytics) - **Year Founded:** 2015 - **HQ Location:** Oakville, Ontario - **Twitter:** @Hyllo_io (149 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/hyllo (3 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 56% Small-Business, 37% Mid-Market #### What Are Hyllo's Pros and Cons? **Cons:** - Error Management (1 reviews) ### What Do G2 Reviewers Say About Hyllo? *AI-generated summary from verified user reviews* **Cons:** - Users report experiencing a **500 error** with the free version, impacting campaign trigger functionality. #### What Are Recent G2 Reviews of Hyllo? **"[Best tool for Marketing Budget](https://www.g2.com/survey_responses/hyllo-review-8727110)"** **Rating:** 5.0/5.0 stars *— Vishnu Kumar D.* [Read full review](https://www.g2.com/survey_responses/hyllo-review-8727110) --- **"[For my analysis of Return on Investment in my business, Hyllo is the best.](https://www.g2.com/survey_responses/hyllo-review-8752959)"** **Rating:** 4.0/5.0 stars *— Anschaire Gildas N.* [Read full review](https://www.g2.com/survey_responses/hyllo-review-8752959) --- ### 10. [Hurree](https://www.g2.com/products/hurree/reviews) Hurree is an AI-powered platform that consolidates all your reporting data into a single, easy-to-use command centre. It connects with over 70 popular tools, giving you a single, reliable view of performance across your business. With fully customizable dashboards, Hurree makes it simple for any team to track KPIs, monitor trends, and measure success with no technical skills required. At the heart of the platform is Riva, Hurree's built-in AI assistant. Riva doesn't just show you the numbers; it explains them. From instant summaries to predictive insights and actionable recommendations, Riva helps you understand what’s happening and what to do next. Hurree is built for teams who want better visibility, clearer reporting, and data they can actually use, without the complexity. **Average Rating:** 4.8/5.0 **Total Reviews:** 74 **How Do G2 Users Rate Hurree?** - **Has the product been a good partner in doing business?:** 9.0/10 (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 Hurree?** - **Seller:** [Hurree](https://www.g2.com/sellers/hurree) - **Company Website:** https://www.hurree.co/ - **Year Founded:** 2018 - **HQ Location:** Belfast, Antrim - **Twitter:** @Hurree_me (896 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/hurree/ (48 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Marketing and Advertising - **Company Size:** 58% Small-Business, 42% Mid-Market #### What Are Hurree's Pros and Cons? **Pros:** - Ease of Use (352 reviews) - Analytics (240 reviews) - Data Visualization (188 reviews) - Efficiency (171 reviews) - Insights (167 reviews) **Cons:** - Learning Curve (122 reviews) - Limited Customization (72 reviews) - Limited Options (63 reviews) - Missing Features (58 reviews) - Learning Difficulty (57 reviews) ### What Do G2 Reviewers Say About Hurree? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Hurree, facilitating effective setup and clear data presentation for clients. - Users value the **intuitive interface and customizable dashboards** of Hurree for effective data visualization and tracking. - Users praise Hurree for its **intuitive data visualization** that simplifies understanding and enhances team productivity. - Users appreciate Hurree's **efficiency** in showcasing lead sources and competition, enhancing client interactions and trust-building. - Users value Hurree for its **ability to transform raw data into meaningful insights** , enhancing decision-making with reliable information. **Cons:** - The **initial learning curve** can be overwhelming, but support helps users adapt to Hurree's features over time. - Some users note the **limited customization options** in Hurree, wishing for more flexibility in tailoring features. - Users find the **reporting features limited** , hindering deeper analysis and flexibility in integrations. - Users are disappointed by the **lack of AI integration** in Hurree, despite ongoing development efforts for future features. - Users find **learning difficulties** with data ranges and integration, impacting their overall experience with Hurree. #### What Are Recent G2 Reviews of Hurree? **"[Game-Changer for Data-Driven Marketing Teams](https://www.g2.com/survey_responses/hurree-review-12533440)"** **Rating:** 5.0/5.0 stars *— Gavin M.* [Read full review](https://www.g2.com/survey_responses/hurree-review-12533440) --- **"[Hurree brought structure and focus to our performance monitoring](https://www.g2.com/survey_responses/hurree-review-12358678)"** **Rating:** 5.0/5.0 stars *— Hayley C.* [Read full review](https://www.g2.com/survey_responses/hurree-review-12358678) --- ### 11. [InfiniGrow](https://www.g2.com/products/infinigrow/reviews) InfiniGrow is an AI-driven revenue marketing platform that provides a unified attribution, forecasting, and planning solution to help B2B marketers become revenue leaders. InfiniGrow's platform helps B2B SaaS marketing teams uncover the business impact of any marketing activity, forecast the results of any budget scenario, and continuously hit their KPIs by optimizing their budget allocation towards the best-performing channels. In today's agile marketing landscape, B2B marketers are faced with increasing challenges as they attempt to make their marketing more predictable, measurable, and revenue-driven. InfiniGrow automatically consolidates and analyzes your live Marketing, Sales, and financial data to uncover the exact business impact of your activities, and provides clear visibility and AI-driven recommendations to better allocate your budget so you can continuously hit your KPIs. **Average Rating:** 4.7/5.0 **Total Reviews:** 54 **How Do G2 Users Rate InfiniGrow?** - **Has the product been a good partner in doing business?:** 9.8/10 (Category avg: 8.9/10) - **AI Text Summarization:** 9.4/10 (Category avg: 8.1/10) - **Algorithms:** 9.7/10 (Category avg: 8.5/10) - **AI Text Generation:** 9.4/10 (Category avg: 8.1/10) **Who Is the Company Behind InfiniGrow?** - **Seller:** [InfiniGrow](https://www.g2.com/sellers/infinigrow) - **Year Founded:** 2017 - **HQ Location:** Tel Aviv, Israel - **Twitter:** @InfiniGrow (150 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10047845/ (10 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 93% Mid-Market, 7% Small-Business #### What Are InfiniGrow's Pros and Cons? **Pros:** - Analytics (18 reviews) - Attribution Accuracy (14 reviews) - Helpful (12 reviews) - Overview (12 reviews) - Reporting (12 reviews) **Cons:** - Learning Curve (9 reviews) - Learning Difficulty (4 reviews) - Filtering Issues (3 reviews) - Filtering Problems (3 reviews) - Not Intuitive (3 reviews) ### What Do G2 Reviewers Say About InfiniGrow? *AI-generated summary from verified user reviews* **Pros:** - Users value the **intuitive analytics** of InfiniGrow, offering structured insights and streamlined data for informed decision-making. - Users value the **attribution accuracy** of InfiniGrow, highlighting its effectiveness in demonstrating the impact of events on revenue. - Users value the **intuitive platform and exceptional customer support** of InfiniGrow, enhancing their data-driven decision-making. - Users value the **exceptional customer service** of InfiniGrow, particularly appreciating prompt assistance and tailored reporting improvements. - Users appreciate the **insightful reporting** of InfiniGrow, enabling comprehensive understanding and optimization of their campaigns. **Cons:** - Users note a challenging **learning curve** with InfiniGrow, requiring time and adaptation to fully utilize its features. - Users find the **learning difficulty** of InfiniGrow challenging initially, though support is available to ease the process. - Users find **filtering navigation issues** occasionally frustrating, especially when scrolling down becomes difficult during use. - Users find it challenging to navigate **filtering problems** that affect usability and clarity in Infinigrow. - Users find the **interface not intuitive** , often requiring assistance and time to fully capitalize on the platform's capabilities. #### What Are Recent G2 Reviews of InfiniGrow? **"[InfiniGrow Brings Clarity and Confidence to Event ROI](https://www.g2.com/survey_responses/infinigrow-review-11603572)"** **Rating:** 4.5/5.0 stars *— Alison B.* [Read full review](https://www.g2.com/survey_responses/infinigrow-review-11603572) --- **"[Powerful Attribution Tool](https://www.g2.com/survey_responses/infinigrow-review-11393593)"** **Rating:** 5.0/5.0 stars *— Marc B.* [Read full review](https://www.g2.com/survey_responses/infinigrow-review-11393593) --- #### What Are G2 Users Discussing About InfiniGrow? - [What is InfiniGrow used for?](https://www.g2.com/discussions/what-is-infinigrow-used-for) ### 12. [Knowi](https://www.g2.com/products/knowi/reviews) Knowi is an end-to-end AI-powered analytics platform designed for modern data, enabling enterprises of all sizes to dramatically accelerate the journey from raw data to actionable insights. With native integration to virtually any data source—including SQL, NoSQL (MongoDB, Elasticsearch, InfluxDB), REST APIs, cloud databases, and documents—Knowi eliminates the need for complex data transformation processes required by alternative solutions. Data teams can integrate, blend, visualize, and analyze data from any source 10X faster, all within a single platform. They can then leverage AI to uncover insights, embed analytics into applications, share dashboards with business users, and automate reporting. **Average Rating:** 4.9/5.0 **Total Reviews:** 27 **How Do G2 Users Rate Knowi?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 8.9/10) - **Algorithms:** 9.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Knowi?** - **Seller:** [Knowi](https://www.g2.com/sellers/knowi) - **Year Founded:** 2015 - **HQ Location:** Oakland, California - **Twitter:** @knowico (2,636 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3675224/ (23 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 48% Small-Business, 37% Mid-Market #### What Are Knowi's Pros and Cons? **Pros:** - Customer Support (4 reviews) - Business Growth (3 reviews) - AI Capabilities (2 reviews) - Automation (2 reviews) - Ease of Use (2 reviews) **Cons:** - Learning Curve (2 reviews) - Lack of Guidance (1 reviews) - Lack of Tutorials (1 reviews) ### What Do G2 Reviewers Say About Knowi? *AI-generated summary from verified user reviews* **Pros:** - Users praise Knowi's **exceptional customer support** , highlighting quick responses and tailored assistance throughout their onboarding process. - Users commend Knowi for its **exceptional onboarding experience** , ensuring a seamless transition and tailored guidance for success. - Users appreciate the **AI-driven analytics** of Knowi, enhancing data connections and reporting with proactive support. - Users value the **automation capabilities** of Knowi, streamlining reporting and drastically reducing manual data management efforts. - Users value the **ease of use** of Knowi, appreciating intuitive dashboards and excellent onboarding support for a quick start. **Cons:** - Users find the **learning curve steep** , especially for advanced features and complex data integration with Knowi. - Users find a **lack of guidance** for API connections challenging, making initial setup time-consuming with Knowi. - Users feel the **lack of tutorials** for API connections in Knowi makes initial setup time-consuming and challenging. #### What Are Recent G2 Reviews of Knowi? **"[Intuitive Dashboarding with Exceptional Support](https://www.g2.com/survey_responses/knowi-review-12378559)"** **Rating:** 5.0/5.0 stars *— Jose D.* [Read full review](https://www.g2.com/survey_responses/knowi-review-12378559) --- **"[Chief Executive Officer](https://www.g2.com/survey_responses/knowi-review-12447928)"** **Rating:** 5.0/5.0 stars *— Paul N.* [Read full review](https://www.g2.com/survey_responses/knowi-review-12447928) --- ### 13. [Neo4j Graph Data Science](https://www.g2.com/products/neo4j-graph-data-science/reviews) Neo4j Graph Data Science is a data science and machine learning engine that uses the relationships in your data to improve predictions. It plugs into enterprise data ecosystems so you can get more data science projects into production quickly. Using a catalog of over 65 pretuned graph algorithms, data scientists can explore billions of data points in seconds to identify hidden connections and generate compelling visualizations that lead to better stakeholder decision making. Practical business applications and operations benefit from the context-first analysis that only graphs can provide across projects like recommendation engines, anomaly and fraud detection, route optimization, marketing, network analysis, and many more. **Average Rating:** 4.5/5.0 **Total Reviews:** 15 **How Do G2 Users Rate Neo4j Graph Data Science?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 8.9/10) - **Algorithms:** 9.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Neo4j Graph Data Science?** - **Seller:** [Neo4j](https://www.g2.com/sellers/neo4j) - **Year Founded:** 2007 - **HQ Location:** San Mateo, CA - **Twitter:** @neo4j (47,112 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/neo4j/ (1,029 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 44% Mid-Market, 38% Small-Business #### What Are Neo4j Graph Data Science's Pros and Cons? **Pros:** - Ease of Use (8 reviews) - Model Variety (6 reviews) - Problem Solving (5 reviews) - Analytics (4 reviews) - Machine Learning (4 reviews) **Cons:** - Learning Curve (5 reviews) - Learning Difficulty (4 reviews) - Beginner Difficulty (3 reviews) - Difficult Learning (3 reviews) - Expensive (3 reviews) ### What Do G2 Reviewers Say About Neo4j Graph Data Science? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **ease of use** of Neo4j Graph Data Science, simplifying onboarding and navigation for all staff. - Users value the **wide variety of algorithms** in Neo4j Graph Data Science for diverse analytics needs. - Users value the **effective problem solving** capabilities of Neo4j GDS, enhancing data modeling and analytics experiences. - Users value the **advanced analytics capabilities** of Neo4j Graph Data Science, enabling deeper insights from complex datasets. - Users appreciate the **powerful machine learning support** in Neo4j GDS, enhancing modeling and analytics in graph environments. **Cons:** - Users find the **learning curve challenging** , causing confusion and difficulty in effectively utilizing the Neo4j Graph Data Science library. - Users note a significant **learning curve** with Neo4j Graph Data Science, which may hinder quick adoption for beginners. - Users highlight the **steep learning curve for beginners** in navigating Neo4j Graph Data Science effectively. - Users face a **difficult learning curve** with Neo4j Graph Data Science, complicating initial adoption for beginners. - Users find the **cost of Neo4j Graph Data Science** to be quite high compared to similar solutions available. #### What Are Recent G2 Reviews of Neo4j Graph Data Science? **"[Let your data speak using neo4j](https://www.g2.com/survey_responses/neo4j-graph-data-science-review-9655599)"** **Rating:** 4.5/5.0 stars *— Dipak K.* [Read full review](https://www.g2.com/survey_responses/neo4j-graph-data-science-review-9655599) --- **"[Best for data science problems which are related to Graphs or finding pattern from your data](https://www.g2.com/survey_responses/neo4j-graph-data-science-review-9549189)"** **Rating:** 5.0/5.0 stars *— Dipak K.* [Read full review](https://www.g2.com/survey_responses/neo4j-graph-data-science-review-9549189) --- ### 14. [SuperLearner](https://www.g2.com/products/superlearner/reviews) SuperLearner is a package that implements the super learner prediction method and contains a library of prediction algorithms to be used in the super learner. **Average Rating:** 4.5/5.0 **Total Reviews:** 13 **How Do G2 Users Rate SuperLearner?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **Algorithms:** 9.4/10 (Category avg: 8.5/10) **Who Is the Company Behind SuperLearner?** - **Seller:** [Super Learner](https://www.g2.com/sellers/super-learner) - **Year Founded:** 2018 - **HQ Location:** Miami, US - **LinkedIn® Page:** https://www.linkedin.com/company/meet-super (1,248 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 38% Small-Business, 31% Enterprise #### What Are Recent G2 Reviews of SuperLearner? **"[Review SuperLerner Software](https://www.g2.com/survey_responses/superlearner-review-5416354)"** **Rating:** 4.0/5.0 stars *— Govind K.* [Read full review](https://www.g2.com/survey_responses/superlearner-review-5416354) --- **"[Remarkable Online Study Tool](https://www.g2.com/survey_responses/superlearner-review-5460984)"** **Rating:** 5.0/5.0 stars *— Raghuraman S.* [Read full review](https://www.g2.com/survey_responses/superlearner-review-5460984) --- #### What Are G2 Users Discussing About SuperLearner? - [What is SuperLearner used for?](https://www.g2.com/discussions/what-is-superlearner-used-for) ### 15. [IFS Copperleaf](https://www.g2.com/products/ifs-copperleaf/reviews) Copperleaf is a Decision Analytics software solution for asset-intensive organizations. It empowers organizations to confidently develop, compare, and manage asset programs and projects across the organization to optimize operational performance, meet strategic objectives, and manage risk. Copperleaf is modular, configurable solution that integrates seamlessly with many existing operational systems, including EAM, ERP, and GIS, empowering organizations to turn data into decisions. With Copperleaf you can: - Direct your available funding and resources to the things that deliver the most value to your business. - Understand the risk profile associated with your asset portfolio and how this will change over time. - Demonstrate the business consequences of reducing – or increasing – your capital investment or maintenance budgets. - Justify your planned asset expenditures to external stakeholders. - Identify which projects to defer when there are funding or cash flow constraints. **Average Rating:** 3.8/5.0 **Total Reviews:** 15 **How Do G2 Users Rate IFS Copperleaf?** - **Has the product been a good partner in doing business?:** 8.8/10 (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:** 9.2/10 (Category avg: 8.1/10) **Who Is the Company Behind IFS Copperleaf?** - **Seller:** [IFS](https://www.g2.com/sellers/ifs) - **Year Founded:** 1983 - **HQ Location:** Linkoping , Sweden - **Twitter:** @ifs (18,002 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/164301/ (9,232 employees on LinkedIn®) - **Ownership:** STO: IFS **Who Uses This Product?** - **Company Size:** 67% Mid-Market, 27% Small-Business #### What Are IFS Copperleaf's Pros and Cons? **Pros:** - Business Growth (1 reviews) - Ease of Use (1 reviews) - Efficiency (1 reviews) - Features (1 reviews) - Time Management (1 reviews) **Cons:** - Cost Issues (1 reviews) - Expensive (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About IFS Copperleaf? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **enhanced project prioritization and resource allocation** that IFS Copperleaf provides for effective business growth. - Users value the **ease of use** of Copperleaf, which streamlines project prioritization and resource allocation effectively. - Users value the **efficiency in project prioritization and resource allocation** provided by IFS Copperleaf, enhancing overall performance. - Users value the **effective project prioritization and resource allocation** that Copperleaf offers, enhancing transparency and risk management. - Users value the **efficient time management** features of IFS Copperleaf, improving project prioritization and resource allocation. **Cons:** - Users note the **high costs** of implementing and maintaining Copperleaf, making it challenging for small organizations. - Users express concerns about the **high cost** of implementing and maintaining IFS Copperleaf, especially for smaller organizations. - Users find the **learning curve steep** , requiring regular use to fully grasp IFS Copperleaf’s extensive features. #### What Are Recent G2 Reviews of IFS Copperleaf? **"[Maximize the value in Asset Management](https://www.g2.com/survey_responses/ifs-copperleaf-review-10070694)"** **Rating:** 5.0/5.0 stars *— Oviya M.* [Read full review](https://www.g2.com/survey_responses/ifs-copperleaf-review-10070694) --- **"[Increased effectiveness of capital allocation process](https://www.g2.com/survey_responses/ifs-copperleaf-review-10236949)"** **Rating:** 4.0/5.0 stars *— Servet Y.* [Read full review](https://www.g2.com/survey_responses/ifs-copperleaf-review-10236949) --- #### What Are G2 Users Discussing About IFS Copperleaf? - [What is Copperleaf used for?](https://www.g2.com/discussions/what-is-copperleaf-used-for) ### 16. [Zoho Analytics](https://www.g2.com/products/zoho-analytics/reviews) Zoho Analytics is a GenAI-powered self-service BI and analytics platform that helps businesses collect, prepare, analyze, and present insights from their data, all within minutes. Integrate with 500+ native data sources, like files, feeds, local and cloud databases, cloud storage, and popular business apps. Clean, transform, enrich, and catalog data with our agentic AI-powered, self-service data preparation and management capabilities. Create and manage complex ETL data pipelines using our visual pipeline builder, process stream data for real-time analytics, and set up a strong metrics layer for quality analysis and management. Zoho Analytics comes with 100+ domain-specific prebuilt reports and dashboards, pre-trained NLQ models, intelligently modeled and blended data across business applications, and lots more. Use our intuitive drag-and-drop visualization builder to build insightful and interactive reports and dashboards using a wide variety of visual components, like charts, widgets, pivot tables, tabular views and more. Generate customized reports and dashboards using simple, natural language with our AI-powered conversational agent, Zia. Ask Zia goes beyond basic reporting; it enables users to perform diagnostic analytics, forecast key metrics, and receive intelligent insights and recommendations. Users can assign tasks and trigger actions just by conversing with our agentic AI, Zia, streamlining their workflows and empowering data-driven decisions. Seamlessly embed Ask Zia into your custom or business applications to deliver contextual insights and actions. Enrich your analysis with automated insights by using our NLG-powered narration engine, Zia Insights. With diagnostic analytics for smarter decision-making, Zia Insights takes automated insights to the next level by bubbling up key drivers for particular business tasks. Enumerate complex business scenarios with what-if analyses, forecast KPIs, uncover trends and patterns with advanced analytical capabilities. Leverage cognitive analysis for keyword extraction and sentiment analysis, and more. Evaluate the best ML models with no-code assistance or develop custom models and functions using Python Code Studio. Zoho Analytics comes with pre-packed ML models (AutoML) that allow you to evaluate and pick the best model for your use case. Alternatively custom models and functions using Python Code Studio Embed our full-fledged analytics platform into other software applications. Craft and present immersive data stories through slideshows or purpose-built analytics portals. Collaborate securely through contextual comment threads and real-time messaging. Zoho Analytics has a robust set of APIs that enables elaborate customization and highly extensible low-code and no-code integration with any technology stack. It also offers a high degree of deployment flexibility (private, public, multi-cloud, and on-premises) and platform extensibility (professional services, partner support, and marketplace). Zoho Analytics is modern and scalable, and it can readily match growing data volumes and usage. Its time-tested and accredited enterprise-grade security features and governance framework ensure continuous data management and stewardship. On top of everything else, the TCO for Zoho Analytics—including licensing, implementation, customization, training, and support—is the lowest in our market. **Average Rating:** 4.2/5.0 **Total Reviews:** 281 **How Do G2 Users Rate Zoho Analytics?** - **Has the product been a good partner in doing business?:** 8.5/10 (Category avg: 8.9/10) **Who Is the Company Behind Zoho Analytics?** - **Seller:** [Zoho](https://www.g2.com/sellers/zoho-b00ca9d5-bca8-41b5-a8ad-275480841704) - **Year Founded:** 1996 - **HQ Location:** Austin, TX - **Twitter:** @Zoho (137,880 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/38373/ (30,766 employees on LinkedIn®) - **Phone:** +1 (888) 900-9646 **Who Uses This Product?** - **Who Uses This:** Director, Business Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 50% Small-Business, 43% Mid-Market #### What Are Zoho Analytics's Pros and Cons? **Pros:** - Ease of Use (39 reviews) - Analytics (34 reviews) - Integrations (28 reviews) - Dashboard Usability (22 reviews) - Data Visualization (22 reviews) **Cons:** - Learning Curve (22 reviews) - Limited Customization (14 reviews) - Data Integration (10 reviews) - Integration Issues (10 reviews) - Missing Features (10 reviews) ### What Do G2 Reviewers Say About Zoho Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Zoho Analytics, benefiting from intuitive interfaces and customizable dashboards. - Users appreciate the **intuitive interface** of Zoho Analytics, allowing for easy data visualization and customizable reports. - Users commend the **seamless integrations** of Zoho Analytics, allowing easy data consolidation across various Zoho platforms. - Users appreciate the **intuitive and customizable dashboards** of Zoho Analytics, enhancing their data visualization experience. - Users value the **data visualization tools** in Zoho Analytics, enabling effective decision-making with visually appealing reports. **Cons:** - Users face a **steep learning curve** with Zoho Analytics, which can be overwhelming for beginners and hinders productivity. - Users find **limited customization options** in Zoho Analytics, hindering their ability to tailor the tool effectively. - Users report a **clunky data integration process** that complicates connecting multiple sources and reviewing long-term trends. - Users find **integration issues** with Zoho Analytics, making data connections difficult and requiring frequent manual checks. - Users feel that Zoho Analytics has **missing features** compared to competitors, limiting flexibility and customization options. #### What Are Recent G2 Reviews of Zoho Analytics? **"[A Powerful, Data-Driven Dashboard Tool with Easy Multi-App Integration](https://www.g2.com/survey_responses/zoho-analytics-review-12870240)"** **Rating:** 5.0/5.0 stars *— Arpit S.* [Read full review](https://www.g2.com/survey_responses/zoho-analytics-review-12870240) --- **"[Excellent Reporting with Zoho Analytics and Zoho Books Sync](https://www.g2.com/survey_responses/zoho-analytics-review-12722454)"** **Rating:** 5.0/5.0 stars *— Abhinandan J.* [Read full review](https://www.g2.com/survey_responses/zoho-analytics-review-12722454) --- #### What Are G2 Users Discussing About Zoho Analytics? - [What is Zoho Analytics used for?](https://www.g2.com/discussions/what-is-zoho-analytics-used-for) - 2 comments - [What is the use of Zoho?](https://www.g2.com/discussions/what-is-the-use-of-zoho) - 1 comment - [Is Zoho Analytics free?](https://www.g2.com/discussions/is-zoho-analytics-free) - 1 comment - [How does Zoho Analytics work?](https://www.g2.com/discussions/how-does-zoho-analytics-work) - [What are the features of Zoho?](https://www.g2.com/discussions/zoho-analytics-what-are-the-features-of-zoho) - 1 comment ### 17. [SAS Visual Forecasting](https://www.g2.com/products/sas-visual-forecasting/reviews) SAS Visual Forecasting allows users to generate large numbers of trustworthy forecasts, quickly and automatically, using time series, machine learning and deep learning techniques. It comes with a no/low-code user interface, as well as a programmatic interface where users can code in SAS and open-source languages such as Python and R. Key features include: automatic data preparation, hierarchical forecasting, automatic segmentation of time series, incorporation of external drivers and events in a simple manner, hybrid forecasting techniques, interactive modeling capabilities, a framework to scale open-source algorithms in the cloud, a user friendly way for flexible overrides, and easy deployment of forecasting pipelines. **Average Rating:** 4.5/5.0 **Total Reviews:** 12 **How Do G2 Users Rate SAS Visual Forecasting?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **AI Text Summarization:** 8.3/10 (Category avg: 8.1/10) - **Algorithms:** 8.9/10 (Category avg: 8.5/10) - **AI Text Generation:** 7.5/10 (Category avg: 8.1/10) **Who Is the Company Behind SAS Visual Forecasting?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **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®) - **Phone:** 1-800-727-0025 **Who Uses This Product?** - **Company Size:** 38% Enterprise, 31% Mid-Market #### What Are SAS Visual Forecasting's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Integrations (3 reviews) - Features (2 reviews) - Time Management (2 reviews) - Analytics (1 reviews) **Cons:** - Complexity Issues (1 reviews) - Complex Setup (1 reviews) - Expensive (1 reviews) - Expensive Licensing (1 reviews) - Learning Curve (1 reviews) ### What Do G2 Reviewers Say About SAS Visual Forecasting? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of SAS Visual Forecasting, enhancing their efficiency with quick and intuitive workflows. - Users appreciate the **seamless integrations** in SAS Visual Forecasting, enhancing efficiency and ease of use significantly. - Users love the **ease of use and efficient data generation** in SAS Visual Forecasting, enhancing their modeling process. - Users appreciate the **time utilization efficiency** of SAS Visual Forecasting, enhancing productivity through effective large-scale forecasting. - Users praise the **accurate AI-generated analytics** of SAS Visual Forecasting, enhancing their decision-making process effortlessly. **Cons:** - Users find SAS Visual Forecasting to be **too complex** , requiring considerable support for effective implementation. - Users find the **setup overly complex** and require significant support for implementation of SAS Visual Forecasting. - Users find SAS Visual Forecasting **expensive** and challenging due to its steep learning curve for newcomers. - Users find the **licensing costs prohibitively high** , limiting accessibility for small businesses and startups. - Users find the **learning curve steep** , particularly for those unfamiliar with the SAS ecosystem, impacting usability. #### What Are Recent G2 Reviews of SAS Visual Forecasting? **"[Large-Scale Automated Forecasting Made Easy](https://www.g2.com/survey_responses/sas-visual-forecasting-review-12697738)"** **Rating:** 5.0/5.0 stars *— Josh A.* [Read full review](https://www.g2.com/survey_responses/sas-visual-forecasting-review-12697738) --- **"[Visual Forecasting for the win](https://www.g2.com/survey_responses/sas-visual-forecasting-review-9553078)"** **Rating:** 5.0/5.0 stars *— David G.* [Read full review](https://www.g2.com/survey_responses/sas-visual-forecasting-review-9553078) --- #### What Are G2 Users Discussing About SAS Visual Forecasting? - [What is SAS Visual Forecasting used for?](https://www.g2.com/discussions/what-is-sas-visual-forecasting-used-for) - 1 comment, 1 upvote ### 18. [Tango](https://www.g2.com/products/tango-analytics-tango/reviews) Tango IWMS Today’s real estate and facilities challenges need to be addressed with a new approach that embraces leading-edge technology, adaptability, constant innovation, and simplicity – something traditional IWMS software systems lack. Tango is the only end-to-end software solution that is up to the task. Predictive Analytics The necessary intelligence to develop smarter location strategies and make better capital investment decisions requires advanced AI and machine learning models coupled with robust data in a scalable geospatial analytics platform. Tango’s Predictive Analytics solution offers this and more regardless of the size of your real estate portfolio and budget. Program & Project Management Tango’s Program & Project Management software solution organizes your diverse project portfolio and aligns activities across budgets & timelines. Streamline the entire construction project lifecycle from scoping to cost management, schedules, docs & procurement while monitoring project analytics in real time. Lease Administration Built to comply with FASB ACS 842, IFRS 16 and GASB 87, Tango’s Lease Administration and Lease Accounting software enhances your daily operational requirements and ensures compliance with the new lease accounting standards. Facilities Management Mange all maintenance activities while ensuring the right repair vs replacement decisions are made. Tango quickly captures and categorizes service requests to guarantee remediation follows policy while preventing breakdowns, reducing long-term maintenance costs and extending asset lifecycles. Space Management Today’s office is rapidly evolving into a hybrid work environment enabled by cutting edge technology. Tango Space Management software helps companies plan, forecast and operate a dynamic workplace from a single solution that improves space utilization and occupancy while reducing facilities costs and elevating the employee experience. **Average Rating:** 4.3/5.0 **Total Reviews:** 15 **How Do G2 Users Rate Tango?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **Algorithms:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Tango?** - **Seller:** [Tango Analytics](https://www.g2.com/sellers/tango-analytics) - **Year Founded:** 2008 - **HQ Location:** Dallas, US - **Twitter:** @tangoanalytics (317 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2953362/ (274 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Retail - **Company Size:** 73% Enterprise, 13% Mid-Market #### What Are Tango's Pros and Cons? **Pros:** - Ease of Use (2 reviews) - Automation (1 reviews) - Design Quality (1 reviews) - Document Management (1 reviews) - Efficiency (1 reviews) **Cons:** - Beginner Difficulty (1 reviews) - Complex Implementation (1 reviews) - Complex Interface (1 reviews) - Complexity (1 reviews) - Complex Procedures (1 reviews) ### What Do G2 Reviewers Say About Tango? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Tango, appreciating its intuitive interface and streamlined information presentation. - Users value the **automation of sales tax** in Tango, significantly reducing human errors in rent processing. - Users praise the **intuitive design** of Tango, enhancing usability with a clear and readable interface. - Users value the **automated sales tax calculation** in Tango, which minimizes errors and enhances lease documentation management. - Users value the **efficiency** of Tango, as it automates rent processing and minimizes human errors. **Cons:** - Users find **beginner difficulty** high due to the unintuitive leasing system and the need for extensive training. - Users report that the **complex implementation** of Tango Lease requires extensive training and time, hindering usability. - Users find the **complex interface** of Tango difficult to navigate, often requiring extensive training for effective use. - Users find the **complexity of Tango** challenging, requiring significant training and effort to use effectively. - Users find the **complex procedures** of Tango challenging, requiring significant time and training to implement effectively. #### What Are Recent G2 Reviews of Tango? **"[Very Professional](https://www.g2.com/survey_responses/tango-review-7075631)"** **Rating:** 5.0/5.0 stars *— Neda A.* [Read full review](https://www.g2.com/survey_responses/tango-review-7075631) --- **"[Intuitive](https://www.g2.com/survey_responses/tango-review-10386902)"** **Rating:** 4.0/5.0 stars *— Paulo Leonardo B.* [Read full review](https://www.g2.com/survey_responses/tango-review-10386902) --- ### 19. [Verteego](https://www.g2.com/products/verteego/reviews) CSR Reporting - Sustainability Reporting - HSE Reporting - Carbon & Energy management - REACh traceability throughout supply chains **Average Rating:** 4.3/5.0 **Total Reviews:** 8 **How Do G2 Users Rate Verteego?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **AI Text Summarization:** 10.0/10 (Category avg: 8.1/10) - **Algorithms:** 9.3/10 (Category avg: 8.5/10) - **AI Text Generation:** 9.2/10 (Category avg: 8.1/10) **Who Is the Company Behind Verteego?** - **Seller:** [Verteego](https://www.g2.com/sellers/verteego) - **Year Founded:** 2018 - **HQ Location:** Paris - **Twitter:** @Verteego_EN (348 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/verteego/ (29 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 25% Enterprise #### What Are Verteego's Pros and Cons? **Pros:** - Forecasting Accuracy (2 reviews) - Analytics (1 reviews) - Automation (1 reviews) - Demand Forecasting (1 reviews) - Features (1 reviews) **Cons:** - Compatibility Issues (1 reviews) - Complex Implementation (1 reviews) - Complexity (1 reviews) - Implementation Complexity (1 reviews) - Limited Flexibility (1 reviews) ### What Do G2 Reviewers Say About Verteego? *AI-generated summary from verified user reviews* **Pros:** - Users value the **forecasting accuracy** of Verteego, leveraging predictive analytics for optimal resource management and demand planning. - Users value the **predictive analytics** of Verteego, effectively forecasting demand and optimizing resource management. - Users value the **automation capabilities** of Verteego, finding actionable insights that enhance their decision-making process. - Users value Verteego's **predictive analytics and scenario simulation** for effective demand forecasting and resource optimization. - Users value the **predictive analytics and real-time monitoring** of Verteego, enhancing demand forecasting and resource optimization. **Cons:** - Users face **compatibility issues** with Verteego, causing challenges in integration and functionality across different systems. - Users find the **implementation complexity** of Verteego challenging, impacting usability and overall trust in the AI system. - Users face **implementation complexity** with Verteego, leading to trust issues and difficulties in utilizing its features effectively. - Users often experience **implementation complexity** with Verteego, leading to trust issues in utilizing the AI effectively. - Users express concern over the **limited flexibility** of Verteego, noting a need for better performance optimization. #### What Are Recent G2 Reviews of Verteego? **"[Managing your sales more easily with the help of Verteego.](https://www.g2.com/survey_responses/verteego-review-9357684)"** **Rating:** 5.0/5.0 stars *— Chloe Nicole L.* [Read full review](https://www.g2.com/survey_responses/verteego-review-9357684) --- **"[wonderful!](https://www.g2.com/survey_responses/verteego-review-10337018)"** **Rating:** 5.0/5.0 stars *— Verified User in Consulting* [Read full review](https://www.g2.com/survey_responses/verteego-review-10337018) --- #### What Are G2 Users Discussing About Verteego? - [What is Verteego used for?](https://www.g2.com/discussions/what-is-verteego-used-for) ### 20. [Squark](https://www.g2.com/products/squark/reviews) Squark is a Software as a Service (SaaS) platform for AI predictive power with the ease of a spreadsheet. The power of machine learning and large scale computing now make AI accessible for everyone, with absolutely no coding. Squark provides a capability for business users to simply link data and click next to generate the accurate predictive models. Behind the scenes, in minutes, we create thousands of models, compare them, and and apply the best one to your data. No programming. No code. No data scientists needed. Squark your data now and drive success by spotting trends and making moves before others know what happened. **Average Rating:** 4.1/5.0 **Total Reviews:** 6 **How Do G2 Users Rate Squark?** - **Algorithms:** 7.9/10 (Category avg: 8.5/10) **Who Is the Company Behind Squark?** - **Seller:** [Squark](https://www.g2.com/sellers/squark) - **Year Founded:** 2020 - **HQ Location:** Burlington, US - **Twitter:** @SquarkAI (140 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/squark/ (18 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Mid-Market, 33% Small-Business #### What Are Recent G2 Reviews of Squark? **"[Squark Review](https://www.g2.com/survey_responses/squark-review-8026415)"** **Rating:** 4.5/5.0 stars *— Dhananjay T.* [Read full review](https://www.g2.com/survey_responses/squark-review-8026415) --- **"[Highly Refined and Accurate Data](https://www.g2.com/survey_responses/squark-review-7543207)"** **Rating:** 4.5/5.0 stars *— Ali A.* [Read full review](https://www.g2.com/survey_responses/squark-review-7543207) --- ### 21. [Aera Technology](https://www.g2.com/products/aera-technology/reviews) At its core, our mission is to help companies transform. We believe in driving beyond digital transformation so that organizations can operate at internet speed and scale in the era of cognitive automation. At Aera, we deliver the cognitive technology that enables the Self-Driving Enterprise with a Cognitive Operating System that connects you with your business and autonomously orchestrates your operations. Aera’s Cognitive OS leverages the best of artificial intelligence, machine learning, natural language processing, big data, and enterprise domain expertise to deliver cognitive automation at scale for some of the world’s largest companies. Aera’s Cognitive Operating System (Aera Cognitive OS) is the platform that delivers cognitive automation at scale. It is the digital brain that connects data, science, process, and change to automate and augment decision making and execution. The platform harmonizes internal and external data across the enterprise, derives insights and recommendations, digitizes decision processes and operationalizes change. **Average Rating:** 4.1/5.0 **Total Reviews:** 5 **How Do G2 Users Rate Aera Technology?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **AI Text Summarization:** 6.7/10 (Category avg: 8.1/10) - **Algorithms:** 5.8/10 (Category avg: 8.5/10) - **AI Text Generation:** 6.7/10 (Category avg: 8.1/10) **Who Is the Company Behind Aera Technology?** - **Seller:** [Aera Technology](https://www.g2.com/sellers/aera-technology) - **Year Founded:** 2017 - **HQ Location:** Mountain View, California, United States - **Twitter:** @Aera_Technology (2,608 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/aera-technology (422 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Enterprise, 40% Mid-Market #### What Are Recent G2 Reviews of Aera Technology? **"[Aera tech](https://www.g2.com/survey_responses/aera-technology-review-6828602)"** **Rating:** 4.0/5.0 stars *— Verified User in Animation* [Read full review](https://www.g2.com/survey_responses/aera-technology-review-6828602) --- **"[Precision analytics at fingertips](https://www.g2.com/survey_responses/aera-technology-review-7006258)"** **Rating:** 4.5/5.0 stars *— Verified User in Pharmaceuticals* [Read full review](https://www.g2.com/survey_responses/aera-technology-review-7006258) --- #### What Are G2 Users Discussing About Aera Technology? - [What is Aera Technology used for?](https://www.g2.com/discussions/what-is-aera-technology-used-for) ### 22. [Kumo.AI](https://www.g2.com/products/kumo-ai-kumo-ai/reviews) Kumo.AI is a SaaS platform that empowers organizations to build and deploy advanced predictive AI models directly from their relational data. By leveraging state-of-the-art Graph Neural Networks , Kumo.AI eliminates the need for manual feature engineering, enabling users to generate accurate predictions efficiently. The platform is designed to be accessible to both technical and non-technical users, facilitating the development of AI models without extensive machine learning expertise. Key Features and Functionality: - Data Integration: Connects seamlessly with existing data sources, allowing users to select relevant tables and define relationships without the need for data migration or complex pipelines. - Automated Model Training: Utilizes deep learning techniques to automatically determine significant attributes and relationships, streamlining the model training process and reducing the time from data to deployment. - Explainability Tools: Provides comprehensive explainability mechanisms, including entity-level insights and global contribution scores, enabling users to understand and trust model predictions. - Flexible Deployment Options: Offers various deployment models, including fully managed cloud services and integrations with platforms like Snowflake and Databricks, ensuring scalability and security. Primary Value and Problem Solved: Kumo.AI addresses the challenges associated with traditional AI model development, such as the need for extensive feature engineering, complex infrastructure, and prolonged development cycles. By automating these processes and providing an intuitive interface, Kumo.AI enables businesses to rapidly develop and deploy predictive models, leading to improved decision-making, enhanced operational efficiency, and significant cost savings. This approach democratizes access to advanced AI capabilities, allowing organizations to harness the full potential of their relational data. **Average Rating:** 3.7/5.0 **Total Reviews:** 5 **How Do G2 Users Rate Kumo.AI?** - **AI Text Summarization:** 5.0/10 (Category avg: 8.1/10) - **Algorithms:** 6.7/10 (Category avg: 8.5/10) - **AI Text Generation:** 3.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Kumo.AI?** - **Seller:** [Kumo.AI](https://www.g2.com/sellers/kumo-ai-b685844f-3b72-4bcc-af2f-4b2b03b6224a) - **Year Founded:** 2021 - **HQ Location:** Mountain View, US - **Twitter:** @Kumo_ai_team (1,658 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/kumo-ai (74 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 80% Small-Business, 20% Enterprise #### What Are Recent G2 Reviews of Kumo.AI? **"[One of the best AI softwares I have went through for my ML experience.](https://www.g2.com/survey_responses/kumo-ai-review-8769558)"** **Rating:** 4.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/kumo-ai-review-8769558) --- **"[Accurate Analytics](https://www.g2.com/survey_responses/kumo-ai-review-8770072)"** **Rating:** 4.0/5.0 stars *— Sage S.* [Read full review](https://www.g2.com/survey_responses/kumo-ai-review-8770072) --- ### 23. [Modern Analytics](https://www.g2.com/products/modern-analytics/reviews) Modern Analytics specializes in cutting-edge predictive analytics in financial services that help organizations optimize business operations and boost sales. **Average Rating:** 4.4/5.0 **Total Reviews:** 5 **How Do G2 Users Rate Modern Analytics?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **AI Text Summarization:** 10.0/10 (Category avg: 8.1/10) - **Algorithms:** 7.9/10 (Category avg: 8.5/10) - **AI Text Generation:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Modern Analytics?** - **Seller:** [Modern Analytics](https://www.g2.com/sellers/modern-analytics) - **HQ Location:** San Diego, US - **Twitter:** @ModernAnalytics (3 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/modern-analytics/about/ (5 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Enterprise, 40% Mid-Market #### What Are Recent G2 Reviews of Modern Analytics? **"[Powerful tool for Everyone](https://www.g2.com/survey_responses/modern-analytics-review-8269734)"** **Rating:** 5.0/5.0 stars *— SAHIL Y.* [Read full review](https://www.g2.com/survey_responses/modern-analytics-review-8269734) --- **"[Tool for data analytics.](https://www.g2.com/survey_responses/modern-analytics-review-8296688)"** **Rating:** 4.5/5.0 stars *— Shiwam S.* [Read full review](https://www.g2.com/survey_responses/modern-analytics-review-8296688) --- ### 24. [ShareInsights](https://www.g2.com/products/shareinsights/reviews) Accelerite Share Insights is an end- to- end big data analytics platform that unifies different analytics operations like data processing, storage and visualization, It offer unique advantages like analytics development, managed life-cycle of analytics and future proofing. **Average Rating:** 4.3/5.0 **Total Reviews:** 12 **How Do G2 Users Rate ShareInsights?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **AI Text Summarization:** 7.2/10 (Category avg: 8.1/10) - **Algorithms:** 7.2/10 (Category avg: 8.5/10) - **AI Text Generation:** 7.2/10 (Category avg: 8.1/10) **Who Is the Company Behind ShareInsights?** - **Seller:** [Accelerite](https://www.g2.com/sellers/accelerite) - **Year Founded:** 2014 - **HQ Location:** Santa Clara, CA - **Twitter:** @Accelerite (1,087 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/5118410 (18 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 42% Mid-Market, 33% Small-Business #### What Are Recent G2 Reviews of ShareInsights? **"[Very efficient tool for Big data analysis](https://www.g2.com/survey_responses/shareinsights-review-9308319)"** **Rating:** 4.5/5.0 stars *— Vanshika G.* [Read full review](https://www.g2.com/survey_responses/shareinsights-review-9308319) --- **"[Insight overview](https://www.g2.com/survey_responses/shareinsights-review-9336861)"** **Rating:** 4.5/5.0 stars *— Verified User in Education Management* [Read full review](https://www.g2.com/survey_responses/shareinsights-review-9336861) --- ### 25. [SparkPredict](https://www.g2.com/products/sparkpredict/reviews) SparkPredict, SparkCognition’s analytics solution, is revolutionizing maintenance by minimizing downtime and delivering millions of dollars in operating cost savings. SparkPredict is a turnkey solution that analyzes sensor data and uses machine learning to return actionable insights, flagging suboptimal operations and identifying impending failures before they occur. **Average Rating:** 4.4/5.0 **Total Reviews:** 5 **How Do G2 Users Rate SparkPredict?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **AI Text Summarization:** 8.8/10 (Category avg: 8.1/10) - **Algorithms:** 8.8/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.8/10 (Category avg: 8.1/10) **Who Is the Company Behind SparkPredict?** - **Seller:** [Avathon](https://www.g2.com/sellers/avathon) - **Year Founded:** 2013 - **HQ Location:** Austin, Texas - **LinkedIn® Page:** https://www.linkedin.com/company/5155679 (259 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Mid-Market, 40% Small-Business #### What Are Recent G2 Reviews of SparkPredict? **"[helpling a lot to focus further and analysis of data in no timw](https://www.g2.com/survey_responses/sparkpredict-review-9577836)"** **Rating:** 4.5/5.0 stars *— Parul B.* [Read full review](https://www.g2.com/survey_responses/sparkpredict-review-9577836) --- **"[Excellent tool for advanced analytical needs](https://www.g2.com/survey_responses/sparkpredict-review-9041497)"** **Rating:** 4.0/5.0 stars *— Nehal C.* [Read full review](https://www.g2.com/survey_responses/sparkpredict-review-9041497) --- ## 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.