# Best Predictive Analytics Tools and Software - Page 8 *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 (3,666 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 (771 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&segment=all) ## 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**: Guidewheel (+1.29%) - Among all products in this category, Guidewheel recorded the largest rating increase compared to last month *Last updated: July 19, 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=2026-07-19T21%3A51%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%252Faquant-ai%252Fwishlists%253Fhost_path%253D%25252Fcategories%25252Fpredictive-analytics%2526source%253Dcategory&secure%5Btoken%5D=7010067a9608a5c63f100be38208b15a0ce724dc10b7033a2a408b65917f58d9&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. [SEER Cost Analysis Platform](https://www.g2.com/products/seer-cost-analysis-platform/reviews) SEER by Galorath is a cost analysis platform for making confident decisions faster. Our clients quickly identify cost-saving and profit-growth opportunities. We help organizations view, analyze, and optimize agile and traditional project costs, schedules, and risk scenarios with real-world outcomes. Forward-thinking organizations like Boeing, NASA, Airbus, Raytheon Technologies, Ford, the US Armed Forces, Lockheed Martin, and Accenture rely on SEER to view, analyze, and optimize their costs, making the uncertain - certain. • Arrive at decisions 5 X’s Faster. Reliable Results in hours, not days or months. • Go to Market 33% faster than the competition. • $36 Mil in delivered cost savings in the past 6 months. • Maximize profitability & cost savings. • Analyze and optimize cost drivers in these unprecedented times. Our products and services give complete insight into the implications of a significant technical or financial decision, allowing organizations to execute a plan with assurance and reach their goals with absolute certainty. **Average Rating:** 5.0/5.0 **Total Reviews:** 4 **How Do G2 Users Rate SEER Cost Analysis Platform?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **AI Text Summarization:** 8.3/10 (Category avg: 8.1/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind SEER Cost Analysis Platform?** - **Seller:** [Galorath Inc](https://www.g2.com/sellers/galorath-inc) - **Year Founded:** 1986 - **HQ Location:** Long Beach, US - **Twitter:** @galorath (304 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/galorath-incorporated/ (64 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Recent G2 Reviews of SEER Cost Analysis Platform? **"[The secrets sauce that has been under utilized.](https://www.g2.com/survey_responses/seer-cost-analysis-platform-review-8698445)"** **Rating:** 5.0/5.0 stars *— Javier Leonardo P.* [Read full review](https://www.g2.com/survey_responses/seer-cost-analysis-platform-review-8698445) --- **"[Galorath provides a robust cost estimating tool with outstanding support.](https://www.g2.com/survey_responses/seer-cost-analysis-platform-review-8720363)"** **Rating:** 5.0/5.0 stars *— Brian C.* [Read full review](https://www.g2.com/survey_responses/seer-cost-analysis-platform-review-8720363) --- ### 2. [Seery](https://www.g2.com/products/seery/reviews) Seery is the app you don't want to miss! Seery uses complex and project-proven AI/Machine Learning methods for the accurate sales forecast. With Seery, you can track the most important KPIs like Avg Order Value, Average Revenue per User, Average No of Orders, and many more. Using Seery you can understand repeat customers, churn rate, Customer Lifetime Value, or use powerful Cohort Analysis with filters per customer segments. Powerful Dashboard showing key information in one place. Shopify ready. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Seery?** - **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 Seery?** - **Seller:** [Qualia Data Sciences LTD](https://www.g2.com/sellers/qualia-data-sciences-ltd) - **Year Founded:** 2010 - **HQ Location:** Killarney, IE - **Twitter:** @qualiahr (502 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/qualia-d-o-o- (5 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Recent G2 Reviews of Seery? **"[Seery - A best friend for sales team](https://www.g2.com/survey_responses/seery-review-8733879)"** **Rating:** 5.0/5.0 stars *— Khushboo D.* [Read full review](https://www.g2.com/survey_responses/seery-review-8733879) --- ### 3. [Splunk IT Service Intelligence‎ (ITSI)](https://www.g2.com/products/splunk-it-service-intelligence-itsi/reviews) Splunk IT Service Intelligence (ITSI) is an AIOps and event management solution that correlates and applies machine learning to all data for real-time, predictive performance monitoring and integrated IT management workflows. This enables teams to prevent incidents before they impact the business, and detect, respond and resolve incidents all from one place. **Average Rating:** 4.9/5.0 **Total Reviews:** 5 **How Do G2 Users Rate Splunk IT Service Intelligence‎ (ITSI)?** - **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 8.9/10) **Who Is the Company Behind Splunk IT Service Intelligence‎ (ITSI)?** - **Seller:** [Cisco](https://www.g2.com/sellers/cisco) - **Year Founded:** 1984 - **HQ Location:** San Jose, CA - **Twitter:** @Cisco (720,366 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cisco/ (95,545 employees on LinkedIn®) - **Ownership:** NASDAQ:CSCO **Who Uses This Product?** - **Company Size:** 80% Enterprise, 20% Small-Business #### What Are Recent G2 Reviews of Splunk IT Service Intelligence‎ (ITSI)? **"[Splunk IT team Integrate of AI for IT technology](https://www.g2.com/survey_responses/splunk-it-service-intelligence-itsi-review-9736956)"** **Rating:** 5.0/5.0 stars *— Malapati K.* [Read full review](https://www.g2.com/survey_responses/splunk-it-service-intelligence-itsi-review-9736956) --- **"[Tool provides complete view of technology stack](https://www.g2.com/survey_responses/splunk-it-service-intelligence-itsi-review-8302326)"** **Rating:** 5.0/5.0 stars *— Aak P.* [Read full review](https://www.g2.com/survey_responses/splunk-it-service-intelligence-itsi-review-8302326) --- #### What Are G2 Users Discussing About Splunk IT Service Intelligence‎ (ITSI)? - [What is Splunk IT Service Intelligence‎ (ITSI) used for?](https://www.g2.com/discussions/what-is-splunk-it-service-intelligence-itsi-used-for) ### 4. [Unscrambler](https://www.g2.com/products/unscrambler/reviews) Unscrambler is the industry leading tool for modeling, prediction and optimisation using powerful analytics, interactive graphics and visualisations for developing products faster, improve product quality and optimise processes. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Unscrambler?** - **AI Text Summarization:** 10.0/10 (Category avg: 8.1/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Unscrambler?** - **Seller:** [CAMO Software](https://www.g2.com/sellers/camo-software) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Unscrambler? **"[Extremely useful for patterns and trends](https://www.g2.com/survey_responses/unscrambler-review-10168726)"** **Rating:** 4.5/5.0 stars *— Rene R.* [Read full review](https://www.g2.com/survey_responses/unscrambler-review-10168726) --- ### 5. [Vanti Analytics](https://www.g2.com/products/vanti-analytics/reviews) with Vanti, operations managers can increase bottom-line productivity in hours by focusing on each unit. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Vanti Analytics?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) **Who Is the Company Behind Vanti Analytics?** - **Seller:** [Vanti Analytics](https://www.g2.com/sellers/vanti-analytics) - **HQ Location:** Tel Aviv, IL - **LinkedIn® Page:** http://www.linkedin.com/company/vanti-analytics (8 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Vanti Analytics's Pros and Cons? **Pros:** - AI Capabilities (1 reviews) - Data Visualization (1 reviews) - Insights (1 reviews) **Cons:** - Limited Options (1 reviews) ### What Do G2 Reviewers Say About Vanti Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users are impressed by the **advanced AI capabilities** of Vanti Analytics, enhancing insights and recommendations from their data. - Users are impressed by the **better visuals** provided by Vanti Analytics, enhancing their data analysis experience. - Users enjoy the **enhanced visuals and recommendations** from Vanti Analytics, uncovering valuable insights from their data. **Cons:** - Users feel there are **limited options** on the charts, suggesting a need for more variety and customization. #### What Are Recent G2 Reviews of Vanti Analytics? **"[Data at your disposal](https://www.g2.com/survey_responses/vanti-analytics-review-9327976)"** **Rating:** 5.0/5.0 stars *— Kishan N.* [Read full review](https://www.g2.com/survey_responses/vanti-analytics-review-9327976) --- ### 6. [Veritas NetBackup IT Analytics](https://www.g2.com/products/veritas-netbackup-it-analytics/reviews) APTARE IT Analytics is the only extensible platform offering unified insights for multi-vendor backup, storage and virtual infrastructure in heterogeneous IT environments. It offers unmatched, comprehensive IT analytics, delivering actionable insights through a single-pane-of-glass across on-premises and hybrid and multi cloud environments. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Veritas NetBackup IT Analytics?** - **Algorithms:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Veritas NetBackup IT Analytics?** - **Seller:** [Cohesity](https://www.g2.com/sellers/cohesity) - **Year Founded:** 2013 - **HQ Location:** San Jose, CA - **Twitter:** @Cohesity (29,248 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3750699/ (7,749 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Veritas NetBackup IT Analytics's Pros and Cons? **Pros:** - Data Visualization (1 reviews) - Ease of Use (1 reviews) - Features (1 reviews) - Graphs (1 reviews) ### What Do G2 Reviewers Say About Veritas NetBackup IT Analytics? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **data visualization capabilities** of Veritas NetBackup IT Analytics, enhancing reporting and forecasting efficiencies. - Users find the **ease of use** of Veritas NetBackup IT Analytics beneficial for efficient data reporting and export. - Users appreciate the **excellent reporting templates** and **forecasting capabilities** of Veritas NetBackup IT Analytics. - Users appreciate the **user-friendly graphs** of Veritas NetBackup IT Analytics, enhancing their reporting and forecasting capabilities. #### What Are Recent G2 Reviews of Veritas NetBackup IT Analytics? **"[Veritas Aptare is a good tool for reporting Storage, Backup and Host info](https://www.g2.com/survey_responses/veritas-netbackup-it-analytics-review-10396551)"** **Rating:** 5.0/5.0 stars *— Sushrita C.* [Read full review](https://www.g2.com/survey_responses/veritas-netbackup-it-analytics-review-10396551) --- ### 7. [Visplore](https://www.g2.com/products/visplore/reviews) Visplore is a visual analytics and industrial data analysis software solution that helps engineers perform systematic root cause analysis and time series analysis across complex process and production data. Visplore belongs to the categories of data analysis, industrial analytics, and visual analytics software. It is designed for manufacturing companies and process industries that need to investigate KPI deviations, production losses, quality issues, or energy inefficiencies. Typical users include process engineers, production managers, quality engineers, and operational excellence teams working with IT/OT data landscapes. The software supports use cases such as troubleshooting, deviation analysis, performance benchmarking, and structured visual analytics process optimization across sites and production units. Visplore is developed by an independent European software company headquartered in Vienna, Austria. Founded to bring advanced analytics closer to operational teams, the company focuses on industrial environments where transparency, on-premise deployment, and engineering usability are key requirements. The organization works closely with manufacturing customers across Europe and other industrial regions, supporting deployments in regulated and security-sensitive environments. Key features and functionality include: - Guided root cause analysis workflows for systematic investigation of KPI deviations - Interactive time series analysis across process, asset, quality, and material data - Integrated data analysis tools for multivariate exploration and hypothesis testing - Visual analytics process optimization templates that standardize investigations - On-premise deployment with seamless IT/OT connectivity Compared to other data analysis tools such as Seeq and TrendMiner, Visplore is built for on-premise deployments and for everyday engineering use, making industrial data analysis accessible, repeatable, and ready for action. The primary value of Visplore lies in closing the gap between monitoring and understanding. While dashboards show what happened, Visplore supports structured data analysis to explain why it happened. By embedding root cause analysis and time series analysis into guided, visual workflows, the software reduces reliance on manual spreadsheet work and isolated expert knowledge. Organizations use Visplore to shorten time-to-insight, standardize analytical best practices, and enable engineers to independently conduct deep investigations that support continuous improvement and sustainable visual analytics process optimization. **Average Rating:** 4.4/5.0 **Total Reviews:** 4 **Who Is the Company Behind Visplore?** - **Seller:** [Visplore](https://www.g2.com/sellers/visplore) - **Company Website:** https://visplore.com/ - **HQ Location:** Vienna, AT - **LinkedIn® Page:** https://www.linkedin.com/company/visplore (31 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 25% Enterprise #### What Are Visplore's Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Efficiency (1 reviews) - Integrations (1 reviews) - User Interface (1 reviews) ### What Do G2 Reviewers Say About Visplore? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Visplore, allowing quick analysis with just a few clicks. - Users love the **efficiency** of Visplore, with its quick, easy setup and powerful time series analysis capabilities. - Users praise the **integrations** of Visplore, seamlessly connecting with databases for effortless time series analysis. - Users love the **easy-to-use interface** of Visplore, finding it ideal for quick and effective time series analysis. #### What Are Recent G2 Reviews of Visplore? **"[Powerful Interface, Helpful Support, and Solid Python Integration](https://www.g2.com/survey_responses/visplore-review-12546787)"** **Rating:** 4.0/5.0 stars *— Verified User in Renewables & Environment* [Read full review](https://www.g2.com/survey_responses/visplore-review-12546787) --- **"[Intuitive Data Analysis](https://www.g2.com/survey_responses/visplore-review-12504386)"** **Rating:** 5.0/5.0 stars *— Johannes R.* [Read full review](https://www.g2.com/survey_responses/visplore-review-12504386) --- #### What Are G2 Users Discussing About Visplore? - [What is Visplore used for?](https://www.g2.com/discussions/what-is-visplore-used-for) - 1 comment ### 8. [180ops](https://www.g2.com/products/180ops/reviews) 180ops: Revenue Intelligence & Sales Analytics Get situational awareness or your priorities, risks and opportunities for cross-selling, LTV growth and new customer acquisition across entire market and customer interface including your full offering portfolio. Create bridge between strategic planning and operational execution. Gain full visibility into your pipeline, account health, and market opportunity--all with predictive clarity. What makes us different: 🟣 Smart Forecasting, Real and actionable Insights — Combines internal billing, pipeline and customer data with external signals to guide where to act next. 🟣 Account-Level Intelligence — Understand which accounts to focus on, where to expand penetration, and how to grow ARPA & LTV. 🟣 Market-Level Awareness — Detect trends, risks, and untapped opportunity in your total addressable market. 🟣 Sales Performance Insights — Analyze rep activity, deal velocity, churn risk, wallet size, and forecast confidence with data beyond win-loss metrics. 🟣 Ansoff Matrix portfolio analysis for today — How offerings perform in new customer acquisition, cross-selling and upsales/renewal? What is the time-to-money, avg deal size and hitrate? Learn how to open and expand customer relationship in different segments 🟣 Perfect Stack Partner as central intelligence — Works with your CRM, ERP, SalesOps tools like Clari or Gong — without replacing them. 180ops is a "flow thru technology", our goal is to deliver customer experience with: 1. right answer 2. to the right person 3. at the right time 4. in an understandable format 5. in technologies that are used for decision making Delivering the data to other systems is imperative. 180ops is Microsoft ISV operating primarily in Azure (Azure Marketplace offering), delivers the data to CRM as ready made visualizations, connects with your datalake or One Cloud and offers MCP and API for LLMs and Agentic AI use cases. 180ops acts as the central intelligence distributing situational awareness and directions to other technologies **Who Is the Company Behind 180ops?** - **Seller:** [180ops](https://www.g2.com/sellers/180ops) - **Year Founded:** 2022 - **HQ Location:** Helsinki, FI - **LinkedIn® Page:** https://www.linkedin.com/company/180ops (9 employees on LinkedIn®) ### 9. [1Platform](https://www.g2.com/products/1platform/reviews) 1Platform by Polestar Analytics is a unified, low-code data intelligence ecosystem that transforms enterprise data management through its powerful orchestration engine, AI capabilities, and comprehensive analytics portal. Built with a no-code platform for data engineering, it seamlessly integrates 100+ data sources while providing automated data lake acceleration, historical data migration, and comprehensive data quality scorecards with execution logs for complete governance. What sets 1Platform apart is its ability to deliver actionable intelligence at scale through unified insights access, agentic and generative AI capabilities that go beyond data summarization to extract additional insights and advanced preloaded, scalable and customisable LLM and reasoning models reducing time and talent requirement. The platform operates through a single, intuitive interface across any cloud environment with modular, plug-and-play architecture, featuring access-based configuration for analytics, dashboard management, and a comprehensive notifications hub for tracking key activities. Backed by 350+ successful clients, 1,000+ implementations, and an exceptional 87% repeat business rate across 20+ global markets, Polestar Analytics delivers the agility, speed, and intelligence that modern enterprises demand to maintain their competitive edge. **Who Is the Company Behind 1Platform?** - **Seller:** [Polestar Analytics](https://www.g2.com/sellers/polestar-analytics) - **Year Founded:** 2012 - **HQ Location:** Plano, US - **Twitter:** @PolestarLLP (508 Twitter followers) - **LinkedIn® Page:** http://www.linkedin.com/company/polestarsolutions%26services (634 employees on LinkedIn®) ### 10. [Adaapt](https://www.g2.com/products/adaapt/reviews) Adaapt is an AI-powered analytics platform designed to deliver role-based insights that empower every team to make data-driven decisions with confidence. Our mission is to make data accessible and actionable for all employees by providing tailored insights that align with their specific roles and responsibilities. Adaapt's natural language search enables users to ask data questions and get relevant, actionable answers easily—no technical expertise is required. Whether through the web or mobile, Adaapt ensures that employees at every level can make faster, smarter decisions, wherever they are. Adaapt's key differentiator is its ability to provide role-based insights, ensuring that each user receives the data most relevant to their function. With Adaapt’s low-code, developer-friendly platform, organizations can also embed AI-powered analytics into their products, creating new revenue streams and engaging users with continuous, meaningful insights. **Who Is the Company Behind Adaapt?** - **Seller:** [Adaapt](https://www.g2.com/sellers/adaapt) - **Year Founded:** 2020 - **HQ Location:** Bangalore - 560005, IN - **LinkedIn® Page:** https://www.linkedin.com/company/adaapt/ (20 employees on LinkedIn®) ### 11. [Advice Analytics](https://www.g2.com/products/advice-analytics/reviews) Advice Analytics delivers predictive analytics for 401(k) communications, compliance, and plan design. **Who Is the Company Behind Advice Analytics?** - **Seller:** [Advice Analytics](https://www.g2.com/sellers/advice-analytics) - **Year Founded:** 2019 - **HQ Location:** San Diego, US - **LinkedIn® Page:** https://www.linkedin.com/company/advice-analytics/ (3 employees on LinkedIn®) ### 12. [Analytical Alley](https://www.g2.com/products/analytical-alley/reviews) Analytical Alley is a modern, AI-driven, analytics platform that boosts your mROI and optimises your marketing mix, ensuring every euro is well spent. You'll see exactly how each marketing effort affects your business, simplifying management and making results predictable. It's intelligent marketing made simple. **Who Is the Company Behind Analytical Alley?** - **Seller:** [Analytical Alley](https://www.g2.com/sellers/analytical-alley) - **HQ Location:** City Centre, EE - **LinkedIn® Page:** https://www.linkedin.com/company/analytical-alley/ (14 employees on LinkedIn®) ### 13. [Andrea by AIDataPME](https://www.g2.com/products/andrea-by-aidatapme/reviews) Andrea is a predictive AI suite designed for small and mid-size e-commerce businesses (€500K–€7M revenue). It delivers daily ML-powered forecasts directly into a client dashboard — no data scientist required. 3 modules : - Andrea Supply — Stock forecasting, product segmentation, logistics planning - Andrea Growth — Churn prediction, return classification, RFM customer segmentation - Andrea CFO — 90-day cash flow forecasting, Media Mix Modeling, executive reporting Andrea connects to Shopify, Klaviyo, and Google Ads, runs nightly inference on Google Cloud (GDPR-compliant, EU data residency), and is fully operational within 10 days of onboarding. Pricing starts at €590/month. No long-term commitment required. **Who Is the Company Behind Andrea by AIDataPME?** - **Seller:** [AIDataPME](https://www.g2.com/sellers/aidatapme) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/aidatapme/ (1 employees on LinkedIn®) ### 14. [Aurora LightZ](https://www.g2.com/products/aurora-lightz/reviews) LightZ is an intuitive Excel style interface enabling users across finance, operations and sales in all businesses to exploit their data to provide smarter insights to cut costs and increase revenue. **Who Is the Company Behind Aurora LightZ?** - **Seller:** [Aurora Predictions](https://www.g2.com/sellers/aurora-predictions) - **Year Founded:** 2020 - **HQ Location:** Newport Beach, US - **LinkedIn® Page:** https://www.linkedin.com/company/dv8-infosystems (42 employees on LinkedIn®) ### 15. [Banamind](https://www.g2.com/products/banamind/reviews) HOW CONSTRUCTION STAYS IN CONTROL. Your crew already shares updates in WhatsApp. Banamind turns those messages, photos, videos, voice notes, and documents into structured progress tracking, site reporting, and real-time visibility — without changing how your team works. **Who Is the Company Behind Banamind?** - **Seller:** [Banamind](https://www.g2.com/sellers/banamind) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/banamind/ (2 employees on LinkedIn®) ### 16. [Behavure.ai](https://www.g2.com/products/behavure-ai/reviews) Scuba Analytics is a Customer Intelligence Platform built to enrich, activate, and accelerate first-party, and fast data, to maximize CDPs and enable brands to create hyper-personalized messaging at scale–with 100% data control within their private cloud. **Average Rating:** 4.0/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Behavure.ai?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) **Who Is the Company Behind Behavure.ai?** - **Seller:** [Scuba Analytics](https://www.g2.com/sellers/scuba-analytics) - **Year Founded:** 2024 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/behavure/ (12 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Behavure.ai? **"[Interana is great for tracking what actions your customer did for bug investigations!](https://www.g2.com/survey_responses/behavure-ai-review-4245825)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer Software* [Read full review](https://www.g2.com/survey_responses/behavure-ai-review-4245825) --- ### 17. [Black Swan Data](https://www.g2.com/products/black-swan-data/reviews) Our technology applies AI and predictive analytics to millions of social and online consumer posts (from TikTok, Instagram, Reddit, X, and more) to understand what's really driving consumer behavior. **Who Is the Company Behind Black Swan Data?** - **Seller:** [Black Swan](https://www.g2.com/sellers/black-swan-89015fbf-76bd-4705-9cf2-ecf54ab2c951) - **Year Founded:** 2011 - **HQ Location:** London, GB - **LinkedIn® Page:** https://www.linkedin.com/company/black-swan-data/ (148 employees on LinkedIn®) ### 18. [Blok](https://www.g2.com/products/blok/reviews) Product decisions based on science **Who Is the Company Behind Blok?** - **Seller:** [Blok](https://www.g2.com/sellers/blok) - **Year Founded:** 2024 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/blokai/ (9 employees on LinkedIn®) ### 19. [BrainPredict](https://www.g2.com/products/brainpredict/reviews) BrainPredict is an enterprise AI platform featuring 331 specialized AI models across 12 business domains: Commerce, Supply Chain, People, Sales, Marketing, Legal, Risk, Finance, Innovation, Controlling, Communications, and Data. Unlike cloud-based AI solutions, BrainPredict deploys entirely on customer premises, ensuring complete data sovereignty and GDPR compliance. Our Intelligence Bus architecture enables real-time coordination between all 331 models through 570+ event types, delivering 15-20% higher accuracy than general-purpose AI. Currently in field test phase with pilot customers across retail, manufacturing, and financial services. Launching 2025. **Who Is the Company Behind BrainPredict?** - **Seller:** [BrainPredict](https://www.g2.com/sellers/brainpredict) - **Year Founded:** 2025 - **HQ Location:** Tallinn, EE - **LinkedIn® Page:** https://www.linkedin.com/company/brainpredict-ai/ (1 employees on LinkedIn®) ### 20. [Brooklyn Dynamics](https://www.g2.com/products/brooklyn-dynamics/reviews) Brooklyn Dynamics is an Australian company established in 2006, specializing in artificial intelligence solutions. The company has developed products such as "Sweet Revenge" and "Lil Spooki," which include apparel items like hoodies, shirts, sweatpants, and baseball caps. , [trademarks.justia.com] Key Features and Functionality: - Artificial Intelligence Solutions: Brooklyn Dynamics focuses on developing AI technologies tailored to various applications. - Apparel Products: The company offers clothing lines under trademarks like "Sweet Revenge" and "Lil Spooki," featuring items such as hoodies, shirts, and caps. Primary Value and User Solutions: Brooklyn Dynamics provides innovative AI solutions designed to enhance operational efficiency and decision-making processes for businesses. Additionally, their apparel products cater to consumers seeking stylish and comfortable clothing options. **Who Is the Company Behind Brooklyn Dynamics?** - **Seller:** [Brooklyn Dynamics](https://www.g2.com/sellers/brooklyn-dynamics) - **Year Founded:** 2006 - **HQ Location:** Melbourne, AU - **LinkedIn® Page:** https://www.linkedin.com/company/17979293 (2 employees on LinkedIn®) ### 21. [BusinessIQ](https://www.g2.com/products/catalytics-datum-pvt-ltd-businessiq/reviews) BusinessIQ is the next-generation decision support platform that enables enterprises to plan, operate, and scale with confidence—powered by turning complex internal and external data into clear, actionable intelligence. Designed for CXOs and business leaders, BusinessIQ offers 360° visibility into the business with descriptive, predictive, and prescriptive insights into sales, finance, inventory, procurement, and vendor management, all in near real time. BusinessIQ helps you do the following: 1. Plan smarter with real-time intelligence across demand, inventory, AR/AP, finance, and compliance. 2. Drives growth-focused sales and revenue planning with forecasting, targets, and performance tracking. 3. Optimize account and vendor management with integrated views across internal and third-party data. 4. AI-driven forecasts and simulations enhance cash-flow, budgeting, and profitability. 5. Drive faster decisions with role-based dashboards for executives, managers, and teams Key capabilities 1. Cognitive reports powered by GenAI for smart narratives and business Q&A 2. Sales, inventory, finance, and quality dashboards that allow drill-downs and dynamic filters 3. Automated demand & inventory forecasting, What-if scenario planning (95%+ accuracy) 4. Real-time refreshes, alerts, and workflow-based report delivery 5. Seamless integration with CRM, ERP, and external data sources Why teams choose BusinessIQ 1. A lightweight, modular platform with seamless onboarding. 2. Subscription-based, affordable model 3. Reduced reliance on specialized data science teams 4. Faster cycle time from data to insight BusinessIQ is trusted across industries such as FMCG, Retail, Manufacturing, E-commerce, Hospitality, Healthcare, and Consumer Electronics. It stands for fact-driven decisions that will boost efficiency, profitability, and long-term business resilience. **Who Is the Company Behind BusinessIQ?** - **Seller:** [Catalytics Datum Pvt Ltd](https://www.g2.com/sellers/catalytics-datum-pvt-ltd) - **Year Founded:** 2016 - **HQ Location:** Bangalore, IN - **LinkedIn® Page:** https://www.linkedin.com/company/catalytics-datum-private-limited (8 employees on LinkedIn®) ### 22. [Carolina](https://www.g2.com/products/carolina/reviews) Carolina helps firms across all industries to, operationalize, their SAS programs, accelerate performance, respond to changing markets, and slash deployment costs. **Who Is the Company Behind Carolina?** - **Seller:** [Dulles Research](https://www.g2.com/sellers/dulles-research) - **Year Founded:** 2005 - **HQ Location:** Reston, US - **LinkedIn® Page:** https://www.linkedin.com/company/dulles-research-llc (2 employees on LinkedIn®) ### 23. [Chalk](https://www.g2.com/products/chalk-chalk/reviews) Chalk's infrastructure supports high-volume workloads with ultra-low latency, allowing for real-time decision-making with up-to-date data. The company emphasizes seamless integration with existing tools and deployment within a client's infrastructure, eliminating the need for bespoke storage solutions. **Who Is the Company Behind Chalk?** - **Seller:** [chalk](https://www.g2.com/sellers/chalk) - **HQ Location:** San Francisco, US - **LinkedIn® Page:** https://www.linkedin.com/company/chalkai/ (69 employees on LinkedIn®) ### 24. [Clearvoyance](https://www.g2.com/products/clearvoyance/reviews) Clearvoyance fixes what's broken with traditional surveys. Most feedback is dishonest — participants don't trust anonymity, especially in small teams or workplace contexts where they know who sent the survey. Clearvoyance solves this with threshold privacy: responses stay locked until a minimum cohort size is reached, making it structurally impossible to identify who said what. Participants speak their answers (voice-first) rather than typing, which captures more nuance, sentiment, and honest detail than text boxes ever could. Audio is transcribed immediately and then deleted — Clearvoyance stores as little data as possible. Campaign creators receive an AI-generated insight report that identifies themes, sentiment patterns, and actionable findings across all responses — no manual analysis required. Three campaign types: Free Campaign — No payment taken. Generate an invite link and experience the full respondent flow at no cost. Targeted Feedback Survey — Invite your own email list. Participants receive a personalised link. Ideal for team pulse checks, product feedback, and internal research. From $4.99 for up to 10 participants. Market Research Open Invite — Share a public link anywhere — social media, email, communities. From $4.99 for up to 10 responses. What makes Clearvoyance different from SurveyMonkey, Typeform, or Google Forms: Threshold privacy — technically enforced anonymity, not just a promise. Responses are physically locked until the minimum cohort is reached. Voice-first responses — audio captures tone, hesitation, and nuance that text never does. Audio deleted after transcription — minimal data footprint and a stronger privacy story. No account needed for respondents — zero friction for participants, higher completion rates. Built-in incentives — reward participants with USDC crypto payouts or promo codes directly from the platform. No subscription — pay per campaign from $4.99. No monthly commitment. Clearvoyance is used by product teams, HR professionals, market researchers, and founders who need honest feedback rather than socially acceptable answers. Whether you're running an NPS alternative, an employee pulse check, or a consumer research study, Clearvoyance gives you the structural conditions for people to tell you the truth. **Who Is the Company Behind Clearvoyance?** - **Seller:** [Clearvoyance](https://www.g2.com/sellers/clearvoyance) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) ### 25. [Comsense Technologies' Consulting Services](https://www.g2.com/products/comsense-technologies-consulting-services/reviews) Comsense Technologies is a global Marketing Technology & Analytics Services company, which leverages marketing tools to provide solutions to the retail, healthcare, government & BFSI sectors with the aim of thoroughly understanding their customer preferences and delivering engaging experiences throughout their omnichannel customer journey. As an official implementation partner for IBM and Acoustic, we aim to engineer impactful business outcomes for technology-driven initiatives through our capabilities and services, a few of which are highlighted below: · Marketing Automation: IP warmup, list building and segmentation, campaign implementation and automation, funnel visualization, licensing & provisioning. · Business Intelligence & Analytics: Data analytics readiness, tool fitment analysis, legacy report migration, reporting and dashboards, intelligent forecasting and scoring. · Data: Data science and engineering, data cleansing, maturity assessment & roadmap​, model development. · CDP Services: Pre and post implementation and integration of CDP, source and destination connections, solution architecture, data model fitment and optimization. · Robotic Process Automation: BOT training, testing, implementation & maintenance, monitoring and compliance. · Application Cloud: Cloud strategy and assessment, application migration and support, hosting and managed operations. · Content: Content creation, curation and planning, periodic content audit, analyzing & validating content ecosystem. **Who Is the Company Behind Comsense Technologies' Consulting Services?** - **Seller:** [Comsense Technologies](https://www.g2.com/sellers/comsense-technologies) - **Year Founded:** 2014 - **HQ Location:** Pune , IN - **LinkedIn® Page:** https://www.linkedin.com/company/comsense-consulting/ (130 employees on LinkedIn®) ## 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.