# Best Predictive Analytics Tools and Software - Page 5 *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 (3,630 reviews) | Visual data storytelling with drag-and-drop forecasting | "[Tableau’s Flexible, Powerful Analytics with Deep Integrations and a Standout Community](https://www.g2.com/survey_responses/tableau-review-13060039)" | | 2 | [Clari](https://www.g2.com/products/clari/reviews) | 4.6/5.0 (5,501 reviews) | AI-driven revenue forecasting inside Salesforce pipelines | "[Clari Platform Review from a RevOps Perspective](https://www.g2.com/survey_responses/clari-review-12400239)" | | 3 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (758 reviews) | Enterprise ML model governance with low-code deployment | "[Powerful & Transforming Data into Decisions—Effortlessly and Intelligently.](https://www.g2.com/survey_responses/sas-viya-review-12682824)" | | 4 | [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) | 4.5/5.0 (1,145 reviews) | SQL-based ML modeling on petabyte-scale datasets | "[Easy-to-Use Cloud Tool with Shareable, Saved Queries](https://www.g2.com/survey_responses/google-cloud-bigquery-review-12958418)" | | 5 | [Adobe Analytics](https://www.g2.com/products/adobe-analytics/reviews) | 4.2/5.0 (1,147 reviews) | Cross-channel customer journey analytics with Adobe integration | "[Powerful, Detailed Insights with Customizable Dashboards in Adobe Analytics](https://www.g2.com/survey_responses/adobe-analytics-review-12644645)" | | 6 | [IBM Cognos Analytics](https://www.g2.com/products/ibm-cognos-analytics/reviews) | 4.1/5.0 (438 reviews) | Enterprise forecasting with governed data models | "[Powerful, Scalable Analytics with Interactive Dashboards and Strong Governance](https://www.g2.com/survey_responses/ibm-cognos-analytics-review-12770018)" | | 7 | [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews) | 4.3/5.0 (675 reviews) | AWS-native dashboards with ML-powered forecasting | "[Fast, Serverless BI with Seamless AWS Integration](https://www.g2.com/survey_responses/amazon-quicksight-review-11692248)" | | 8 | [IBM SPSS Statistics](https://www.g2.com/products/ibm-spss-statistics/reviews) | 4.2/5.0 (893 reviews) | Point-and-click statistical modeling for non-programmers | "[Efficient, Reliable Statistical Analysis with an Approachable UI in IBM SPSS Statistics](https://www.g2.com/survey_responses/ibm-spss-statistics-review-12829044)" | | 9 | [SAP Analytics Cloud](https://www.g2.com/products/sap-analytics-cloud/reviews) | 4.2/5.0 (750 reviews) | — | "[SAP Analytics Cloud Clean Dashboards and Powerful Real Time Analytics in One Place](https://www.g2.com/survey_responses/sap-analytics-cloud-review-12817514)" | | 10 | [SAP HANA Cloud](https://www.g2.com/products/sap-hana-cloud-2025-10-01/reviews) | 4.3/5.0 (521 reviews) | Real-time predictive analytics on SAP transactional data | "[Blazing-Fast In-Memory Performance with Seamless SAP Integration](https://www.g2.com/survey_responses/sap-hana-cloud-review-12419032)" | --- ## What Are the Most Common Questions About Predictive Analytics Software? *AI-generated · Last updated: May 26, 2026* ### Which Predictive Analytics platforms let non-technical analysts build models without writing code? Based on G2 reviews, several predictive analytics tools are consistently described as approachable for non-technical users because they rely on visual workflows, drag-and-drop interfaces, or low-code model building. According to verified users, SAS Viya stands out for letting teams analyze data, build models, and create dashboards without heavy coding, while still supporting code when needed. G2 reviewers mention Pecan as a way to run predictive models quickly without a dedicated data science team, and Alteryx is often praised for making data preparation and analytics easier for business users who are not coders. These themes point to tools that reduce technical barriers while still supporting practical predictive work. **Here are some of the top-rated products on G2:** - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews/sas-viya-review-12717278) – supports no-code and code-based analytics with automated reporting and fast model work - [Pecan](https://www.g2.com/products/pecan/reviews/pecan-review-12160044) – helps teams run predictive models quickly without needing a full data science team - [Alteryx](https://www.g2.com/products/alteryx/reviews/alteryx-review-12847135) – enables non-coders to prep data, automate tasks, and produce KPI reporting ### Which Predictive Analytics platforms avoid predictions that fail spectacularly in live production environments? Based on G2 reviews, buyers tend to trust platforms that reviewers describe as reliable in production, easy to validate, and supported by strong deployment workflows. According to verified users, Pecan is frequently praised for getting predictive models live quickly and helping teams use them in sales, fraud, and demand planning use cases without a large data science function. G2 reviewers mention that it is not a black box to the same degree as some alternatives and that support teams help with setup and model improvement, which can reduce production risk. Reviews also suggest that platforms with clear monitoring, data organization, and repeatable workflows tend to inspire more confidence once predictions move into business operations. ### What Predictive Analytics most trusted by analytics leaders and data professionals based on verified reviews? Based on G2 reviews, Tableau appears most trusted by analytics leaders and data professionals in this review set because it has the strongest concentration of recent verified feedback and is repeatedly described as reliable for turning complex data into clear, actionable insights. According to verified users, Tableau helps analysts build dashboards quickly, connect multiple data sources, and support leadership reviews with interactive reporting. G2 reviewers mention its drag-and-drop workflow, strong visualization capabilities, and usefulness for spotting trends, tracking KPIs, and improving decision-making across teams. While users also note tradeoffs like pricing and learning curve, the recurring trust signal in these reviews comes from its widespread day-to-day use in analytics workflows. ### What Predictive Analytics with explainable results that business teams can trust and confidently act on? Based on G2 reviews, buyers looking for explainable predictive analytics often favor platforms that make model logic, signals, or statistical outputs easier to interpret for business teams. According to verified users, Pecan is valued because teams can analyze data, build predictive models, and review model behavior with support that helps business users understand results. G2 reviewers mention that GoodData.AI helps turn complex metrics into clearer dashboards and actionable insight, while IBM SPSS Statistics is repeatedly praised for making advanced statistical analysis approachable through structured outputs, tables, and charts. Across these reviews, trust tends to come from platforms that combine prediction with understandable presentation, not just raw model output. ### What most trusted Predictive Analytics by data teams and analysts based on verified user reviews? Based on G2 reviews, Tableau is the most trusted predictive analytics option in this dataset for data teams and analysts because reviewers repeatedly describe it as a dependable platform for analyzing large datasets, building dashboards, and sharing insights with both technical and non-technical stakeholders. According to verified users, Tableau shortens the time from raw data to decisions with drag-and-drop workflows, strong data connectivity, and interactive dashboards. G2 reviewers mention use cases ranging from forecasting and KPI tracking to supply chain analysis and executive reporting. The strongest trust signal here is not just positive sentiment, but the volume and consistency of recent reviews describing Tableau as part of daily analytics work. ### What Predictive Analytics platforms where models actually improve business decisions instead of sitting unused? Based on G2 reviews, the platforms that stand out are the ones reviewers say are tied directly to sales, operations, forecasting, or retention decisions rather than isolated experiments. According to verified users, Pecan helps teams prioritize leads, predict churn, forecast demand, and support next-purchase planning, which makes the outputs easier to operationalize. G2 reviewers mention SAS Viya as useful for large-scale analytics, dashboards, and machine learning in one environment, helping teams move from raw data to action more efficiently. Reviews also show that platforms gain adoption when they reduce manual work, fit existing workflows, and let business teams understand results without relying on a separate specialist team every time. ### Which Predictive Analytics tools require less data preparation and programming expertise than traditional approaches? Based on G2 reviews, several tools are described as reducing the amount of data preparation and coding typically associated with predictive analytics. According to verified users, Amazon Forecast helps teams generate forecasts without needing deep machine learning expertise, while Pecan is valued for letting SQL-capable or semi-technical users create predictive models without a full data science workflow. G2 reviewers mention Alteryx as especially helpful for cleaning, blending, and automating data preparation through a drag-and-drop interface. SAS Viya also appears in reviews as a low-code or no-code option for modeling and dashboarding. Overall, reviewers favor platforms that automate prep work, simplify model setup, and shorten the path from raw data to usable predictions. ### What highest rated Predictive Analytics for driving accurate and actionable business forecasting consistently? Based on G2 reviews, accurate and actionable business forecasting is most often associated with tools built for repeatable forecasting workflows and clear operational outputs. According to verified users, Nixtla is praised for fast forecasting, zero-shot forecasting across many series, and strong ease of use for sales, energy, and demand forecasting scenarios. G2 reviewers mention Amazon Forecast for reliable demand planning and inventory forecasting without requiring deep machine learning expertise. SAS Visual Forecasting is also highlighted for large-scale automated forecasting that provides a strong baseline. Across these reviews, the most valued forecasting platforms are those that save time, support faster decisions, and make forecasts practical enough to guide planning rather than stay theoretical. ### What is the best Predictive Analytics for teams turning raw data into accurate business forecasts without specialist PhDs? Based on G2 reviews, Pecan is the best fit for teams that want to turn raw data into usable business forecasts without needing specialist data science expertise. According to verified users, Pecan helps organizations build predictive models quickly through an interface that is approachable for SQL users and semi-technical teams, with strong support throughout setup and deployment. G2 reviewers mention use cases such as sales forecasting, customer lifetime value, churn prediction, lead prioritization, and demand planning. Reviews consistently describe faster time to value, easier onboarding, and practical business outputs. That combination makes it especially appealing for teams that want forecasting capability without building a full in-house modeling function. ### What top Predictive Analytics solutions predicting customer churn before valuable customers leave the business? Based on G2 reviews, churn prediction is most strongly associated with platforms that help teams identify at-risk users early enough to act. According to verified users, Pecan is repeatedly used for churn risk analysis, customer lifetime value, next-purchase prediction, and identifying high-value customers for more targeted outreach. G2 reviewers mention Amazon Forecast and Nixtla more often for demand and time-series forecasting, while Pecan stands out for customer-focused predictive use cases tied to retention and commercial action. Reviews suggest that churn tools are most valuable when they turn raw customer data into practical signals for sales, marketing, or customer teams, helping them focus on intervention before customers disengage. **Here are some of the top-rated products on G2:** - [Pecan](https://www.g2.com/products/pecan/reviews/pecan-review-11579534) – used for churn risk analysis and broader customer behavior prediction - [Amazon Forecast](https://www.g2.com/products/amazon-forecast/reviews/amazon-forecast-review-12255988) – supports planning with more reliable forecasts for resource and business decisions - [Nixtla](https://www.g2.com/products/nixtla/reviews/nixtla-review-11514059) – helps teams maintain high-quality forecasts with minimal model overhead ## How Many Predictive Analytics Software Products Does G2 Track? **Total Products under this Category:** 293 ### Category Stats (Jul 2026) - **Average Rating**: 4.44/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Guidewheel (+1.29%) - Among all products in this category, Guidewheel recorded the largest rating increase compared to last month *Last updated: July 03, 2026* ## How Does G2 Rank Predictive Analytics Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 30,600+ Authentic Reviews - 293+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Predictive Analytics Software Is Best for Your Use Case? - **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=2026-07-03T23%3A02%3A30Z&secure%5Bdisplayable_resource_id%5D=499&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=499&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=1327283&secure%5Bresource_id%5D=499&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fpredictive-analytics&secure%5Btoken%5D=86417fd6f64cd44a3305816123d1975f0b8345ca313d142b69f0d9b3698f5fd9&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. [Megaladata](https://www.g2.com/products/megaladata/reviews) The low code Megaladata platform empowers business users by making advanced analytics accessible. - Visual design of complex data analysis models with no involvement of the IT department and no need for programming. - Over 60 ready-to-use processing components. - Easy integration with various sources. - Fast processing of large datasets achieved through in-memory computing and parallelism. - Reusable components that facilitate accumulation of business expertise. - Advanced visualization — OLAP cubes, tables, charts, and other specialized tools. Megaladata minimizes the time between hypothesis testing and a fully functional business process. **Average Rating:** 4.9/5.0 **Total Reviews:** 8 **Who Is the Company Behind Megaladata?** - **Seller:** [Megaladata](https://www.g2.com/sellers/megaladata) - **HQ Location:** Neu-Isenburg, DE - **Twitter:** @megaladata_com (5 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/megaladata (5 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 88% Small-Business, 13% Mid-Market #### What Are Recent G2 Reviews of Megaladata? **"[Reusable Components and Nice Performance](https://www.g2.com/survey_responses/megaladata-review-12780960)"** **Rating:** 5.0/5.0 stars *— Vitali M.* [Read full review](https://www.g2.com/survey_responses/megaladata-review-12780960) --- **"[Megaladata is a platform for any time of on-time analytics](https://www.g2.com/survey_responses/megaladata-review-12752778)"** **Rating:** 5.0/5.0 stars *— Vartan G.* [Read full review](https://www.g2.com/survey_responses/megaladata-review-12752778) --- ### 2. [Neural Designer](https://www.g2.com/products/neural-designer/reviews) Neural Designer is a powerful software tool for developing and deploying machine learning models. It provides a user-friendly interface that allows users to build, train, and evaluate neural networks without requiring extensive programming knowledge. With a wide range of features and algorithms, Neural Designer simplifies the entire machine learning workflow, from data preprocessing to model optimization. In addition, it supports various data types, including numerical, categorical, and text, making it versatile for domains. Additionally, Neural Designer offers automatic model selection and hyperparameter optimization, enabling users to find the best model for their data with minimal effort. Finally, its intuitive visualizations and comprehensive reports facilitate interpreting and understanding the model's performance. Whether you are a beginner or an experienced data scientist, Neural Designer accelerates the development of accurate and efficient machine learning models. **Average Rating:** 4.4/5.0 **Total Reviews:** 6 **How Do G2 Users Rate Neural Designer?** - **AI Text Summarization:** 8.3/10 (Category avg: 8.1/10) - **Algorithms:** 8.9/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Neural Designer?** - **Seller:** [Artelnics](https://www.g2.com/sellers/artelnics) - **Year Founded:** 2014 - **HQ Location:** Villamayor, ES - **Twitter:** @artelnics (803 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/artelnics/ (7 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Small-Business, 33% Mid-Market #### What Are Recent G2 Reviews of Neural Designer? **"[Best tool to visualize Neural Networks](https://www.g2.com/survey_responses/neural-designer-review-8869518)"** **Rating:** 5.0/5.0 stars *— Manav S.* [Read full review](https://www.g2.com/survey_responses/neural-designer-review-8869518) --- **"["Neural Designers" - Ergonomic way to create a model using Machine learning.](https://www.g2.com/survey_responses/neural-designer-review-9562315)"** **Rating:** 4.5/5.0 stars *— AshwinKumar N.* [Read full review](https://www.g2.com/survey_responses/neural-designer-review-9562315) --- #### What Are G2 Users Discussing About Neural Designer? - [What is Neural Designer used for?](https://www.g2.com/discussions/neural-designer-what-is-neural-designer-used-for) - [What is Neural Designer used for?](https://www.g2.com/discussions/what-is-neural-designer-used-for) ### 3. [Obviously AI](https://www.g2.com/products/obviously-ai/reviews) Obviously AI is the fastest and easiest automated machine learning software that enables anyone to build predictive AI models in minutes, without writing code. All you do is connect your historical data, click a couple of buttons and your predictive AI models will be ready to use in just a matter of minutes. You can share these predictions with your team, simulate what-if scenarios and use our APIs to integrate with your everyday apps & services and automatically take action in real time. **Average Rating:** 4.0/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Obviously AI?** - **Algorithms:** 7.5/10 (Category avg: 8.5/10) **Who Is the Company Behind Obviously AI?** - **Seller:** [Obviously AI](https://www.g2.com/sellers/obviously-ai) - **Year Founded:** 2025 - **HQ Location:** San Francisco, US - **LinkedIn® Page:** https://www.linkedin.com/company/zamshq (24 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are Recent G2 Reviews of Obviously AI? **"[Predict without code](https://www.g2.com/survey_responses/obviously-ai-review-7424828)"** **Rating:** 4.0/5.0 stars *— Akshay Kumar G.* [Read full review](https://www.g2.com/survey_responses/obviously-ai-review-7424828) --- **"[Some of the best data scientists in the space](https://www.g2.com/survey_responses/obviously-ai-review-8256708)"** **Rating:** 4.0/5.0 stars *— Nico G.* [Read full review](https://www.g2.com/survey_responses/obviously-ai-review-8256708) --- ### 4. [Oracle Data Mining (ODM)](https://www.g2.com/products/oracle-data-mining-odm/reviews) Scalable in-database predictive analytics **Average Rating:** 4.0/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Oracle Data Mining (ODM)?** - **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 8.9/10) - **Algorithms:** 7.2/10 (Category avg: 8.5/10) **Who Is the Company Behind Oracle Data Mining (ODM)?** - **Seller:** [Oracle](https://www.g2.com/sellers/oracle) - **Year Founded:** 1977 - **HQ Location:** Austin, TX - **Twitter:** @Oracle (827,997 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1028/ (208,078 employees on LinkedIn®) - **Ownership:** NYSE:ORCL **Who Uses This Product?** - **Company Size:** 50% Enterprise, 25% Small-Business #### What Are Recent G2 Reviews of Oracle Data Mining (ODM)? **"[ODM Powerful Data Mining Software](https://www.g2.com/survey_responses/oracle-data-mining-odm-review-4300713)"** **Rating:** 4.5/5.0 stars *— Abdo G.* [Read full review](https://www.g2.com/survey_responses/oracle-data-mining-odm-review-4300713) --- **"[Oracle Data Mining is Great](https://www.g2.com/survey_responses/oracle-data-mining-odm-review-2270975)"** **Rating:** 4.0/5.0 stars *— Van M.* [Read full review](https://www.g2.com/survey_responses/oracle-data-mining-odm-review-2270975) --- ### 5. [pVelocity Analysis](https://www.g2.com/products/pvelocity-analysis/reviews) Too often, information about Products, Customers, Assets, Materials, and Suppliers exists in disconnected silos across an organization, providing an incomplete, inaccurate picture. By using pVelocity to connect these critical dimensions, you can not only analyze why something happened in the past, but also quantify and predict what could happen in the future under different circumstances. **Average Rating:** 3.7/5.0 **Total Reviews:** 3 **How Do G2 Users Rate pVelocity Analysis?** - **AI Text Summarization:** 7.5/10 (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 pVelocity Analysis?** - **Seller:** [pVelocity](https://www.g2.com/sellers/pvelocity) - **Year Founded:** 2004 - **HQ Location:** Toronto, CA - **LinkedIn® Page:** http://www.linkedin.com/company/pvelocity (16 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 33% Enterprise, 33% Mid-Market #### What Are Recent G2 Reviews of pVelocity Analysis? **"[P in pvelocity stands for Pro](https://www.g2.com/survey_responses/pvelocity-analysis-review-10171301)"** **Rating:** 4.5/5.0 stars *— Nalin B.* [Read full review](https://www.g2.com/survey_responses/pvelocity-analysis-review-10171301) --- ### 6. [revVana Plan](https://www.g2.com/products/revvana-plan/reviews) revVana is the leading revenue forecasting platform that empowers businesses to seamlessly integrate their forecasting processes directly within Salesforce. Trusted by innovative companies across industries, revVana goes beyond traditional tools to deliver precise, real-time insights for revenue management, helping teams optimize performance and drive strategic growth. Our platform leverages advanced AI models and real-time data integration to eliminate forecasting blind spots and align sales, finance, and operations teams. With revVana, businesses can accurately predict revenue across consumption-based, project-based, and pipeline-driven models, all within the familiar Salesforce ecosystem. Whether you’re managing complex enterprise agreements, consumption-based products, or recurring revenue streams, revVana is the platform of choice for teams, departments, and entire organizations. With revVana, businesses consistently deliver accurate revenue forecasts, align resources efficiently, and unlock new growth opportunities. **Average Rating:** 4.8/5.0 **Total Reviews:** 5 **How Do G2 Users Rate revVana Plan?** - **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 revVana Plan?** - **Seller:** [revVana](https://www.g2.com/sellers/revvana) - **Year Founded:** 2019 - **HQ Location:** Orange County, US - **LinkedIn® Page:** https://www.linkedin.com/company/revvana (12 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 40% Enterprise, 40% Small-Business #### What Are revVana Plan's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Efficiency (3 reviews) - Forecasting (3 reviews) - Forecasting Efficiency (3 reviews) - Salesforce Integration (3 reviews) **Cons:** - Learning Curve (2 reviews) - Not Intuitive (2 reviews) - Calculation Issues (1 reviews) - Difficult Adaptation (1 reviews) - Difficult Customization (1 reviews) ### What Do G2 Reviewers Say About revVana Plan? *AI-generated summary from verified user reviews* **Pros:** - Users find revVana Plan to be **easy to use** , thanks to its seamless integration and intuitive spreadsheet-like interface. - Users value the **efficiency** of revVana Plan, streamlining revenue forecasts and enhancing Salesforce integration seamlessly. - Users appreciate the **accurate revenue forecasting** capabilities of revVana, enhancing sales efficiency and streamlining processes. - Users value the **forecasting efficiency** of revVana Plan, enabling precise revenue tracking and simplifying the sales process. - Users value the **seamless integration with Salesforce** , enhancing revenue forecasting and simplifying the sales process. **Cons:** - Users find the **learning curve steep** for revVana Plan, requiring expertise for effective use and edits. - Users find revVana Plan **not intuitive** for quick edits, requiring more expertise for effective use in SF. - Users experience **calculation issues** that cause latency, though vendor support helps optimize performance over time. - Users find that **difficult adaptation** for regular SF users hinders quick edits while benefiting internal controls. - Users find **difficult customization** in revVana Plan hampers easy edits, making it less user-friendly for regular SF users. #### What Are Recent G2 Reviews of revVana Plan? **"[revVana assists in RevRec](https://www.g2.com/survey_responses/revvana-plan-review-9100290)"** **Rating:** 5.0/5.0 stars *— Rita D.* [Read full review](https://www.g2.com/survey_responses/revvana-plan-review-9100290) --- **"[Revenue Forecasting & Realization Made Easy](https://www.g2.com/survey_responses/revvana-plan-review-11612389)"** **Rating:** 5.0/5.0 stars *— Joan M.* [Read full review](https://www.g2.com/survey_responses/revvana-plan-review-11612389) --- #### What Are G2 Users Discussing About revVana Plan? - [What is revVana Plan used for?](https://www.g2.com/discussions/what-is-revvana-plan-used-for) ### 7. [Salford Predictive Modeler](https://www.g2.com/products/salford-predictive-modeler/reviews) The SPM Salford Predictive Modeler software suite is a highly accurate and ultra-fast analytics and data mining platform for creating predictive, descriptive, and analytical models from databases of any size, complexity, or organization. **Average Rating:** 5.0/5.0 **Total Reviews:** 3 **Who Is the Company Behind Salford Predictive Modeler?** - **Seller:** [Minitab](https://www.g2.com/sellers/minitab-14ca02fe-fdeb-44c4-b0db-904058d0221b) - **Year Founded:** 1972 - **HQ Location:** State College, Pennsylvania, United States - **Twitter:** @Minitab (5,017 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/39142/ (717 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 25% Mid-Market #### What Are Recent G2 Reviews of Salford Predictive Modeler? **"[SPM--The best predictions you will ever make](https://www.g2.com/survey_responses/salford-predictive-modeler-review-4430055)"** **Rating:** 5.0/5.0 stars *— Bill K.* [Read full review](https://www.g2.com/survey_responses/salford-predictive-modeler-review-4430055) --- **"[Obtain superior results using SPM](https://www.g2.com/survey_responses/salford-predictive-modeler-review-4419050)"** **Rating:** 5.0/5.0 stars *— Verified User in Market Research* [Read full review](https://www.g2.com/survey_responses/salford-predictive-modeler-review-4419050) --- ### 8. [Strikezone](https://www.g2.com/products/strikezone/reviews) Strikezone is an AI-native Go-to-Market platform for every growing business. **Average Rating:** 5.0/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Strikezone?** - **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 Strikezone?** - **Seller:** [StrikeZone Growth](https://www.g2.com/sellers/strikezone-growth) - **HQ Location:** Wilmington, DE, USA - **Twitter:** @getstrikezone - **LinkedIn® Page:** https://linkedin.com/company/strikezone/ (9 employees on LinkedIn®) - **Ownership:** C-corporation **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Strikezone? **"[From Leads to Meetings, Without the Chaos](https://www.g2.com/survey_responses/strikezone-review-12752248)"** **Rating:** 5.0/5.0 stars *— Dhaval B.* [Read full review](https://www.g2.com/survey_responses/strikezone-review-12752248) --- **"[StrikeZone + Frank AI: Intuitive, Responsive Structure for B2B GTM Workflows](https://www.g2.com/survey_responses/strikezone-review-12750132)"** **Rating:** 5.0/5.0 stars *— ankit p.* [Read full review](https://www.g2.com/survey_responses/strikezone-review-12750132) --- ### 9. [The Cognite AI & Data Platform](https://www.g2.com/products/the-cognite-ai-data-platform/reviews) The Cognite AI and Data Platform™ is a sophisticated Industrial DataOps solution specifically designed for asset-intensive industries seeking to harness the power of their operational and engineering data. Founded in 2016 and based in Tempe, Arizona, Cognite aims to facilitate the transformation of complex data environments into actionable insights that drive efficiency and innovation across various sectors. This cloud-native platform excels in ingesting and contextualizing data from a multitude of sources, including Information Technology (IT), Operational Technology (OT), and engineering systems. By creating a unified industrial knowledge graph, the Cognite AI and Data Platform integrates data from historians, Enterprise Resource Planning (ERP) systems, Computerized Maintenance Management Systems (CMMS), and even 3D models. This comprehensive approach allows organizations to standardize their data models and utilize robust APIs, enabling secure workspaces that support advanced analytics, interactive dashboards, and AI-driven applications. Targeted primarily at industries that rely heavily on operational data, such as manufacturing, energy, and utilities, the Cognite AI and Data Platform addresses specific use cases that enhance productivity and operational efficiency. For instance, organizations can leverage the platform for production optimization, where real-time data insights lead to improved throughput and reduced operational bottlenecks. Additionally, the platform supports predictive maintenance initiatives, allowing companies to anticipate equipment failures before they occur, thereby minimizing downtime and associated costs. Key features of the Cognite AI and Data Platform include its ability to transform fragmented data into a trusted and contextual foundation, which is crucial for making informed decisions. By providing a centralized repository of data, users gain full ownership and control over their information, facilitating compliance and security. Moreover, the platform’s scalability enables organizations to implement AI initiatives that can evolve with their operational needs, ensuring that they remain competitive in a rapidly changing industrial landscape. Overall, the Cognite AI and Data Platform stands out in the DataOps category by offering a comprehensive solution that not only integrates disparate data sources but also empowers organizations to unlock the full potential of their industrial data. Through its focus on contextualization and user-friendly interfaces, it provides significant value to companies looking to enhance their operational capabilities and drive long-term growth. **Average Rating:** 4.8/5.0 **Total Reviews:** 3 **Who Is the Company Behind The Cognite AI & Data Platform?** - **Seller:** [Cognite](https://www.g2.com/sellers/cognite) - **Company Website:** https://www.cognite.com/en/ - **Year Founded:** 2016 - **HQ Location:** Tempe, Arizona, United States - **LinkedIn® Page:** https://www.linkedin.com/company/cognitedata (760 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Recent G2 Reviews of The Cognite AI & Data Platform? **"[Empowers Data Contextualization with Ease and Trust](https://www.g2.com/survey_responses/the-cognite-ai-data-platform-review-12948927)"** **Rating:** 5.0/5.0 stars *— Jeremy K.* [Read full review](https://www.g2.com/survey_responses/the-cognite-ai-data-platform-review-12948927) --- **"[Connects Nearly Any Industrial Data Source into a Common Source of Truth](https://www.g2.com/survey_responses/the-cognite-ai-data-platform-review-12951453)"** **Rating:** 5.0/5.0 stars *— Adam G.* [Read full review](https://www.g2.com/survey_responses/the-cognite-ai-data-platform-review-12951453) --- ### 10. [Verint Voice of the Customer](https://www.g2.com/products/verint-verint-voice-of-the-customer/reviews) Verint® Voice of the Customer™ (formerly known as Experience Management™) empowers CX Leaders to optimize customer experiences in real-time. With Verint Voice of the Customer, companies can listen everywhere, act immediately, and analyze deeper than with any other experience management solution in the marketplace. Verint offers prescriptive VoC solutions across Web and Mobile, Enterprise-wide, and Location-Based experiences. As part of the Verint Platform, Verint Voice of the Customer allows CX leaders to close the Engagement Capacity Gap™ between customer expectations and budget or resources by: Deriving insights from data and AI Connecting organizational silos Leveraging CX orchestration and automation Examples of customer successes include: - Increasing NPS by 17 points - Realizing a 72% increase in BOPIS (buy online pickup in store) orders month-over-month - Cross-functional view of customer interactions enabling continuous CX improvements - Unlock the power of a unified customer experience! Contact us today. Verint wholly owns OpinionLab and ForeSee, both of which are now fully integrated parts of Verint Voice of the Customer (formerly known as Experience Management). **Average Rating:** 4.2/5.0 **Total Reviews:** 40 **How Do G2 Users Rate Verint Voice of the Customer?** - **Has the product been a good partner in doing business?:** 7.9/10 (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 Verint Voice of the Customer?** - **Seller:** [Verint](https://www.g2.com/sellers/verint) - **Year Founded:** 1994 - **HQ Location:** Melville, New York - **Twitter:** @Verint (7,739 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/verint (4,343 employees on LinkedIn®) - **Ownership:** Thoma Bravo **Who Uses This Product?** - **Top Industries:** Retail - **Company Size:** 51% Enterprise, 37% Mid-Market #### What Are Recent G2 Reviews of Verint Voice of the Customer? **"[Great platform, great support](https://www.g2.com/survey_responses/verint-voice-of-the-customer-review-9397018)"** **Rating:** 4.5/5.0 stars *— Verified User in Marketing and Advertising* [Read full review](https://www.g2.com/survey_responses/verint-voice-of-the-customer-review-9397018) --- **"[Easy to set up, easy to use and great access to an experienced team](https://www.g2.com/survey_responses/verint-voice-of-the-customer-review-9728417)"** **Rating:** 4.0/5.0 stars *— Verified User in Entertainment* [Read full review](https://www.g2.com/survey_responses/verint-voice-of-the-customer-review-9728417) --- #### What Are G2 Users Discussing About Verint Voice of the Customer? - [What is Verint Predictive Experience (formerly Verint ForeSee) used for?](https://www.g2.com/discussions/what-is-verint-predictive-experience-formerly-verint-foresee-used-for) - 1 comment ### 11. [Xpanse AI](https://www.g2.com/products/xpanse-ai/reviews) Xpanse AI predicts customer behaviour by automatically integrating source data and analyzing thousands of behavioral patterns in hours instead of months, allowing you to power every campaign with advanced analytics. **Average Rating:** 4.0/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Xpanse AI?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 8.9/10) - **Algorithms:** 7.8/10 (Category avg: 8.5/10) **Who Is the Company Behind Xpanse AI?** - **Seller:** [Xpanse.ai](https://www.g2.com/sellers/xpanse-ai) - **Year Founded:** 2015 - **HQ Location:** Dublin, IE - **LinkedIn® Page:** https://www.linkedin.com/company/xpanse-ai/ (6 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Xpanse AI? **"[A great experience to have](https://www.g2.com/survey_responses/xpanse-ai-review-9883157)"** **Rating:** 5.0/5.0 stars *— Mangalam G.* [Read full review](https://www.g2.com/survey_responses/xpanse-ai-review-9883157) --- ### 12. [Analance Platform](https://www.g2.com/products/analance-platform/reviews) Combining Data Science, Business Intelligence, and Data Management Capabilities in One Integrated, Self-Serve Platform. Analance is a robust, salable end-to-end platform that combines Data Science, Advanced Analytics, Business Intelligence, and Data Management into one integrated self-serve platform. It is built to deliver core analytical processing power to ensure data insights are accessible to everyone, performance remains consistent as the system grows, and business objectives are continuously met within a single platform. Analance is focused on turning quality data into accurate predictions allowing both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding. THE ANALANCE PLATFORM: • Delivers an end-to-end enterprise analytics platform with a strong focus on turning quality data into accurate predictions from one integrated self-serve platform. • Provides a platform for both data scientists and citizen data scientists with point and click pre-built algorithms and an environment for custom coding. • Offers an intuitive UI with guided workflows to enable both data scientists and citizen data scientists to master the platform in minutes. • Unifies multiple tools required for data analysis into one integrated platform to deliver insights with accuracy and quality. Product Capabilities • Analance Data Management (ADM): Extract, Transform and Load (ETL) tool to clean and transform data for analysis. • Analance Advanced Analytics (AAA): Predict based on trained Machine Learning (ML) Models. • Analance Business Intelligence (ABI): Deploy trained models from AAA into ABI for visualizations. • Analance Internet of Things (AIoT): Connect to streaming sources for real-time analytics and visualization. • Analance Artificial Intelligence (AAI): Next generation inference engine for prescriptive analytics. Key Features: • Get a demo of Analance or take it for a 30-day test drive. • Seamless Data Integration • Data Cleaning and Transformation • Predictive Analytics and Trends • Real-time Analytics • Prescriptive Analytics • Text and Sentiment Analytics • Social Analytics • Business Intelligence and Reporting • Interactive Visualization • Self-Serve Capability • Sign-Sign On to Access All Platforms within Analance **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **Who Is the Company Behind Analance Platform?** - **Seller:** [Orion Systems Integrators](https://www.g2.com/sellers/orion-systems-integrators) - **Year Founded:** 1993 - **HQ Location:** Edison, New Jersey, United States - **LinkedIn® Page:** https://www.linkedin.com/company/orioninnovation (4,746 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Analance Platform? **"[Great knowledge](https://www.g2.com/survey_responses/analance-platform-review-4675506)"** **Rating:** 5.0/5.0 stars *— Verified User in Health, Wellness and Fitness* [Read full review](https://www.g2.com/survey_responses/analance-platform-review-4675506) --- **"[Awesome data gathering and analytical tool](https://www.g2.com/survey_responses/analance-platform-review-5171647)"** **Rating:** 5.0/5.0 stars *— Verified User in Computer & Network Security* [Read full review](https://www.g2.com/survey_responses/analance-platform-review-5171647) --- #### What Are G2 Users Discussing About Analance Platform? - [What is Analance™ Advanced Analytics used for?](https://www.g2.com/discussions/what-is-analance-advanced-analytics-used-for) ### 13. [Apigee Insights](https://www.g2.com/products/apigee-insights/reviews) Make every interaction count **Average Rating:** 3.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Apigee Insights?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **Algorithms:** 6.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Apigee Insights?** - **Seller:** [Google](https://www.g2.com/sellers/google) - **Year Founded:** 1998 - **HQ Location:** Mountain View, CA - **Twitter:** @google (31,899,995 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1441/ (341,888 employees on LinkedIn®) - **Ownership:** NASDAQ:GOOG **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are G2 Users Discussing About Apigee Insights? - [What is Apigee Insights used for?](https://www.g2.com/discussions/what-is-apigee-insights-used-for) ### 14. [Appier AIXON](https://www.g2.com/products/appier-aixon/reviews) AIXON is a data science platform that unifies and enriches existing customer data to help you better understand your audience and run AI models to easily predict their future actions. Streamline Your Data From Different Sources AIXON creates a 360-degree view of your audience by unifying data across all platforms like apps, websites and CRM, and enriches your audience profiles with Appier’s unique cross-screen technology. Predict Customers' Future Actions in Real Time Powered by the scenario-based prediction with Auto-ML models, AIXON allows you to predict specific actions of your audience in real time, from conversions to churn and even the likelihood of users visiting a certain webpage. Generate Actionable Insights With Explainable AI AIXON’s explainable AI enables our customers to understand the rationale of our AI-driven decisions. AIXON is capable of textually and visually showing the most important variables to describe why certain decisions are made. The ability to explain the factors underlying the AI’s analysis is key to fostering trust in Appier’s AI technology, and avoid it being viewed as a mere “black box." Achieve Seamless Customer Engagement AIXON seamlessly integrates with your existing owned and paid channels, allowing you to amplify omnichannel marketing on AI-powered insights and ensure optimum customer experience. Boost Conversions With RFM AIXON automatically configures your audience segments into three most critical dimensions of attributes, RFM (Recency, Frequency, and Monetary), to help you better understand customer intent and take targeted actions to realize customers’ full profit potential. **Average Rating:** 4.8/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Appier AIXON?** - **Has the product been a good partner in doing business?:** 10.0/10 (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 Appier AIXON?** - **Seller:** [Appier](https://www.g2.com/sellers/appier) - **Year Founded:** 2012 - **HQ Location:** Taipei, Taiwan - **Twitter:** @GoAppier (1,230 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/appier/ (869 employees on LinkedIn®) - **Ownership:** TYO: 4180 **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of Appier AIXON? **"[An investment in AI helps drive our businesss, and % uplift shoot off the chart.](https://www.g2.com/survey_responses/appier-aixon-review-4654673)"** **Rating:** 4.5/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/appier-aixon-review-4654673) --- **"[Applying Prediction AI to Campaigns of a EC site](https://www.g2.com/survey_responses/appier-aixon-review-9219681)"** **Rating:** 5.0/5.0 stars *— Jovy C.* [Read full review](https://www.g2.com/survey_responses/appier-aixon-review-9219681) --- #### What Are G2 Users Discussing About Appier AIXON? - [What is Appier AIXON used for?](https://www.g2.com/discussions/what-is-appier-aixon-used-for) ### 15. [Aquant AI](https://www.g2.com/products/aquant-ai/reviews) Aquant is the only agentic AI platform built specifically for asset-centric organizations that build, sell, and support complex equipment. It turns your service content (manuals, service histories, parts and warranty data, case notes) and the expertise in your technicians’ heads into AI agents that help teams solve problems and make decisions faster. Unlike generic AI tools, Aquant is purpose-built for service and has spent the last decade refining its platform based on feedback from top organizations. Our agents understand the language of troubleshooting and service operations, so they can deliver accurate, context-aware guidance to the people who need it most: technicians in the field, contact center agents, and leaders across the business. Because Aquant connects service knowledge to the broader enterprise, it supports every function (service, product, engineering, operations, finance, sales, and marketing) by delivering role-specific answers and recommendations from a shared source of truth. Aquant meets teams where they work with Voice AI and offline access, so guidance is available whether someone is calling in, accessing through mobile or web, or working without connectivity. By learning from real-world service data, Aquant helps organizations resolve issues faster, ramp new hires quicker, reduce avoidable costs, and identify new revenue opportunities. Trusted by Siemens, Hologic, Cytiva, John Deere and other global OEMs and service-only organizations. Whatever the challenge, Aquant has an agent for it. Learn more at www.aquant.ai Recognition: ✔ Fast Company’s Next Big Things in Tech 2025 ✔ The Service Council’s Best Overall Technology ✔ CRM Top 100 for Agentic AI Innovation **Average Rating:** 4.8/5.0 **Total Reviews:** 4 **Who Is the Company Behind Aquant AI?** - **Seller:** [Aquant.ai](https://www.g2.com/sellers/aquant-ai) - **Year Founded:** 2016 - **HQ Location:** New York, New York, United States - **LinkedIn® Page:** https://www.linkedin.com/company/aquant.io/ (137 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 75% Mid-Market, 25% Small-Business #### What Are Aquant AI's Pros and Cons? **Pros:** - AI Integration (2 reviews) - Artificial Intelligence (2 reviews) - Features (2 reviews) - Quality (2 reviews) - AI Capabilities (1 reviews) **Cons:** - AI Limitations (1 reviews) - AI Performance (1 reviews) - Data Management (1 reviews) - Delays (1 reviews) - Improvements Needed (1 reviews) ### What Do G2 Reviewers Say About Aquant AI? *AI-generated summary from verified user reviews* **Pros:** - Users value the **advanced AI integration** in Aquant AI for delivering precise predictions and actionable insights tailored to their needs. - Users value the **accurate predictions and personalized recommendations** provided by Aquant AI, enhancing decision-making and operational efficiency. - Users appreciate the **personalized and accurate predictions** of Aquant AI, enhancing decision-making and operational efficiency. - Users value the **high-quality predictions and recommendations** from Aquant AI, enhancing business decision-making and operational efficiency. - Users appreciate the **personalized and accurate troubleshooting** capabilities of Aquant AI, enhancing their maintenance experience. **Cons:** - Users find that **Aquant AI's effectiveness is limited** by incomplete or inconsistent historical service data, impacting insight accuracy. - Users note that the **inaccuracy of insights** from Aquant AI can arise from incomplete or inconsistent historical service data. - Users find that **incomplete or inconsistent historical service data** can limit the accuracy of Aquant AI's insights. - Users find the **delays** in Aquant AI frustrating, impacting their overall experience and efficiency. - Users note that **incomplete or inconsistent historical data** limits Aquant AI's effectiveness and accuracy in providing insights. #### What Are Recent G2 Reviews of Aquant AI? **"[Aquant Service Co-Pilot Review](https://www.g2.com/survey_responses/aquant-ai-review-11239757)"** **Rating:** 4.0/5.0 stars *— mohammed hareez S.* [Read full review](https://www.g2.com/survey_responses/aquant-ai-review-11239757) --- **"[Powerscreen Crushing & Screening Ask Powerscreen](https://www.g2.com/survey_responses/aquant-ai-review-11551536)"** **Rating:** 5.0/5.0 stars *— Justin M.* [Read full review](https://www.g2.com/survey_responses/aquant-ai-review-11551536) --- ### 16. [Auger](https://www.g2.com/products/auger/reviews) A prediction market protocol owned and operated by the people that use it. **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Auger?** - **Algorithms:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Auger?** - **Seller:** [Auger](https://www.g2.com/sellers/auger) - **HQ Location:** N/A - **Twitter:** @AugurProject (145,728 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 150% Mid-Market #### What Are Recent G2 Reviews of Auger? **"[A matket predicter](https://www.g2.com/survey_responses/auger-review-1929580)"** **Rating:** 5.0/5.0 stars *— Aakash M.* [Read full review](https://www.g2.com/survey_responses/auger-review-1929580) --- **"[Good experience with Auger !](https://www.g2.com/survey_responses/auger-review-1920302)"** **Rating:** 5.0/5.0 stars *— Oliver S.* [Read full review](https://www.g2.com/survey_responses/auger-review-1920302) --- #### What Are G2 Users Discussing About Auger? - [What is Auger used for?](https://www.g2.com/discussions/what-is-auger-used-for) ### 17. [bitcoinpredict10](https://www.g2.com/products/bitcoinpredict10/reviews) The model uses minute by minute tick data to forecasts the future 10-minute price for bitcoin. The model requires two weeks (20160 minutes of tick data) to forecasts the future price. The model uses five years of data, including periods that have seen significant increases and decreases in bitcoin price. **Average Rating:** 4.8/5.0 **Total Reviews:** 2 **How Do G2 Users Rate bitcoinpredict10?** - **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 bitcoinpredict10?** - **Seller:** [llama analytics](https://www.g2.com/sellers/llama-analytics) - **HQ Location:** London, GB - **LinkedIn® Page:** https://www.linkedin.com/company/llama-analytics/ (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Recent G2 Reviews of bitcoinpredict10? **"[Best Bit coin Predication application](https://www.g2.com/survey_responses/bitcoinpredict10-review-9349767)"** **Rating:** 5.0/5.0 stars *— Roshan P.* [Read full review](https://www.g2.com/survey_responses/bitcoinpredict10-review-9349767) --- **"[Amazing Predictions](https://www.g2.com/survey_responses/bitcoinpredict10-review-9362305)"** **Rating:** 4.5/5.0 stars *— Akshay S.* [Read full review](https://www.g2.com/survey_responses/bitcoinpredict10-review-9362305) --- ### 18. [Cavallo](https://www.g2.com/products/cavallo/reviews) Cavallo is a leader for AI-driven Profit Maximization. Its platform integrates with top ERP systems to ensure flawless orders and deliver actionable insights to optimize revenue streams for distributors, manufacturers, and product-centric brands. Its real-time analytics and advanced workflows also help businesses enhance customer retention and align sales and marketing initiatives. Cavallo's mission is to help customers to maximize profits at scale. For more information, visit www.cavallo.com. **Average Rating:** 3.5/5.0 **Total Reviews:** 14 **How Do G2 Users Rate Cavallo?** - **Has the product been a good partner in doing business?:** 5.7/10 (Category avg: 8.9/10) **Who Is the Company Behind Cavallo?** - **Seller:** [Cavallo](https://www.g2.com/sellers/cavallo) - **Company Website:** https://cavallo.com/ - **Year Founded:** 2003 - **HQ Location:** Grand Rapids, Michigan - **Twitter:** @wearecavallo (2,210 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1023366/ (143 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 31% Mid-Market #### What Are Cavallo's Pros and Cons? **Pros:** - Automation (1 reviews) - Ease of Use (1 reviews) - ERP Solutions (1 reviews) - Functionality (1 reviews) **Cons:** - Reporting Limitations (1 reviews) ### What Do G2 Reviewers Say About Cavallo? *AI-generated summary from verified user reviews* **Pros:** - Users love the **workflow automation** in Cavallo, enhancing efficiency and streamlining sales processes seamlessly. - Users commend Cavallo for its **intuitive and easy-to-use interfaces** , enhancing overall efficiency in business processes. - Users value Cavallo's **intuitive and powerful ERP solutions** , enhancing workflow and driving business success effectively. - Users find Cavallo's **intuitive functionality** essential for optimizing sales processes and improving overall business efficiency. **Cons:** - Users find **reporting limitations** in Cavallo, needing additional tools for effective order and invoice management. #### What Are Recent G2 Reviews of Cavallo? **"[Cavallo's software transformed my business operations](https://www.g2.com/survey_responses/cavallo-review-11764605)"** **Rating:** 5.0/5.0 stars *— Paul M.* [Read full review](https://www.g2.com/survey_responses/cavallo-review-11764605) --- **"[Amazing piece of software](https://www.g2.com/survey_responses/cavallo-review-1794662)"** **Rating:** 5.0/5.0 stars *— Wassim R.* [Read full review](https://www.g2.com/survey_responses/cavallo-review-1794662) --- #### What Are G2 Users Discussing About Cavallo? - [What is Cavallo used for?](https://www.g2.com/discussions/what-is-cavallo-used-for) ### 19. [ChannelMix](https://www.g2.com/products/channelmix/reviews) With an end-to-end platform and comprehensive suite of analytics products, ChannelMix provides leading brands and agencies with a clear path to measure and grow marketing ROI. ChannelMix is pioneering future-ready marketing measurement with first-party analytics tracking and data models that deliver insights that are more accurate, sustainable and impactful to the business. With ChannelMix, you’ll achieve complete visibility and control of marketing spend, goals, ROI and more - without needing to learn how to query or code. - ChannelMix requires no SQL or coding knowledge — our team manages and repairs data connections for you. Clients have seen up to a 90% decrease in time to prepare data for analysis with ChannelMix. - All data is stored in a dedicated data warehouse (Amazon Redshift, Google BigQuery) managed for you by the ChannelMix team. We take the data management burden off your team. - ChannelMix integrates with the BI or visualization tool of your choice: Tableau, Google Data Studio, Power BI, Looker, Yellowfin and more. With our quick-start dashboards, you can have a reporting solution up and running in less than 3 days. - The platform is supported by a 100% US-based team. Clients receive account management and data support with same-day response. **Average Rating:** 4.3/5.0 **Total Reviews:** 45 **How Do G2 Users Rate ChannelMix?** - **Has the product been a good partner in doing business?:** 9.0/10 (Category avg: 8.9/10) **Who Is the Company Behind ChannelMix?** - **Seller:** [InMarket](https://www.g2.com/sellers/inmarket) - **Year Founded:** 2010 - **HQ Location:** Austin, Texas - **Twitter:** @inMarket_Media (1,325 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/inmarket_1/ (362 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Marketing and Advertising - **Company Size:** 57% Mid-Market, 33% Small-Business #### What Are Recent G2 Reviews of ChannelMix? **"[One of the best tools I have used to integrate all data sources.](https://www.g2.com/survey_responses/channelmix-review-9099733)"** **Rating:** 4.0/5.0 stars *— Carl G.* [Read full review](https://www.g2.com/survey_responses/channelmix-review-9099733) --- **"[An incredible solution with even greater support.](https://www.g2.com/survey_responses/channelmix-review-9105343)"** **Rating:** 5.0/5.0 stars *— Meredith W.* [Read full review](https://www.g2.com/survey_responses/channelmix-review-9105343) --- #### What Are G2 Users Discussing About ChannelMix? - [What is ChannelMix used for?](https://www.g2.com/discussions/what-is-channelmix-used-for) ### 20. [DataClarity](https://www.g2.com/products/dataclarity/reviews) DataClarity Unlimited Analytics is the only free modern embeddable data and analytics platform in the world that provides a self-service, powerful, secure and seamless end-to-end experience. DataClarity Unlimited Analytics Highlights · Simplified Data Integration – Easily connect, join, curate, cache, and catalog diverse data through drag and drop experience, custom SQL builder, and AI-powered data profiling. · Interactive Storyboards – Craft compelling storyboards using 80 stunning visualizations, geospatial maps, and flexibility to bring your own charts. · Real-time Analysis – Perform advanced analysis and data exploration using drill-down, drill-through, filters, built-in statistical and predictive models, and leverage your own Python and R code. · Seamless Application Integration – Achieve smooth integration with versatile APIs, tailor-made configurations, and flexible embedding features. · Security & Governance – Ensure adherence to your security guidelines, governance standards, multitenancy, row-level data protection, and Single Sign-On (SSO) capabilities. About DataClarity DataClarity is a trailblazing innovator of embedded self-service data and analytics. With an unwavering commitment to delivering groundbreaking capabilities that bring unparalleled value to ISV’s, SaaS providers, consultancies, and IT teams, DataClarity is reshaping industries through its forward-thinking solutions and pioneering business model. **Average Rating:** 4.9/5.0 **Total Reviews:** 5 **How Do G2 Users Rate DataClarity?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **AI Text Summarization:** 6.7/10 (Category avg: 8.1/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) - **AI Text Generation:** 6.7/10 (Category avg: 8.1/10) **Who Is the Company Behind DataClarity?** - **Seller:** [DataClarity Corporation](https://www.g2.com/sellers/dataclarity-corporation) - **Year Founded:** 2002 - **HQ Location:** Raleigh, US - **Twitter:** @DataClarity (263 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/dataclarity-corporation/ (23 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Mid-Market, 20% Small-Business #### What Are Recent G2 Reviews of DataClarity? **"[Effortless Integration and Powerful Analytics!](https://www.g2.com/survey_responses/dataclarity-review-9934154)"** **Rating:** 5.0/5.0 stars *— Peter S.* [Read full review](https://www.g2.com/survey_responses/dataclarity-review-9934154) --- **"[Rich and easy to use analytics platform](https://www.g2.com/survey_responses/dataclarity-review-9224833)"** **Rating:** 5.0/5.0 stars *— Elvis F.* [Read full review](https://www.g2.com/survey_responses/dataclarity-review-9224833) --- ### 21. [DeeOps](https://www.g2.com/products/deeops/reviews) What is DeeOps? DeeOps is a cloud-native, AI-powered ERP that consolidates finance, inventory, operations and sales into one seamless dashboard. Built for SMEs and large enterprises alike, DeeOps automates routine tasks, delivers predictive insights and scales with your business—no heavy IT lift required. Key Features & Benefits 30/60/90-day Cash-Flow Forecasts Generate accurate projections in one click, simulate multiple “what-if” scenarios, and receive proactive alerts to avoid cash shortages. One-Click E-Invoicing & Compliance Create and send legally compliant invoices via Chorus Pro, capture receipts with OCR, and automate follow-up reminders to accelerate payments. Real-Time Inventory Optimization Sync stock across e-commerce, retail and marketplace channels. DeeOps’s AI adjusts reorder points automatically to eliminate stock-outs AND overstock. Custom Dashboards & Mobile Insights Build drag-and-drop KPI screens, query your data by voice (Alexa/Google Assistant) and get push notifications for critical thresholds. Why Choose DeeOps? Rapid ROI: Go live in days, not months—and see labor savings and cash-flow improvements within weeks. Scalable Modules: Activate only what you need—inventory, project management, subscription billing—then add on as you grow. Enterprise-Grade Support: Dedicated onboarding, 24/7 helpdesk and tailored training ensure your team succeeds from day one. Ready to transform your business? Request your personalized demo now and see DeeOps in action. Start your free trial—no credit card required—and unlock predictive power for your ERP today. Contact our sales team for a custom quote and discover special launch incentives. DeeOps isn’t just another ERP—it’s your competitive edge. Book a demo or activate your trial now to drive smarter decisions, faster growth and stronger profitability. **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **Who Is the Company Behind DeeOps?** - **Seller:** [Euro Tech Conseil](https://www.g2.com/sellers/euro-tech-conseil) - **Year Founded:** 2000 - **HQ Location:** PARIS, FR - **LinkedIn® Page:** https://www.linkedin.com/company/eurotech-conseil (37 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of DeeOps? **"[Simple, Fast, and Intuitive: An Intelligent Tool](https://www.g2.com/survey_responses/deeops-review-12132965)"** **Rating:** 5.0/5.0 stars *— ATALLAH M.* [Read full review](https://www.g2.com/survey_responses/deeops-review-12132965) --- **"[A modern, intelligent ERP truly suited for SMEs](https://www.g2.com/survey_responses/deeops-review-11263507)"** **Rating:** 5.0/5.0 stars *— Clementine M.* [Read full review](https://www.g2.com/survey_responses/deeops-review-11263507) --- ### 22. [DMWay Analytics Engine](https://www.g2.com/products/dmway-analytics-engine/reviews) DMWay is an analytic tool that empowers organizations to streamline predictive analytics and improve competitive edge. **Average Rating:** 4.8/5.0 **Total Reviews:** 2 **How Do G2 Users Rate DMWay Analytics Engine?** - **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 DMWay Analytics Engine?** - **Seller:** [DMWay Analytics](https://www.g2.com/sellers/dmway-analytics) - **Year Founded:** 2014 - **HQ Location:** Jerusalem, IL - **Twitter:** @DMWayAnalytics (532 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/5039245 (3 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 50% Small-Business #### What Are Recent G2 Reviews of DMWay Analytics Engine? **"[Great Service](https://www.g2.com/survey_responses/dmway-analytics-engine-review-8930886)"** **Rating:** 4.5/5.0 stars *— Valentin C.* [Read full review](https://www.g2.com/survey_responses/dmway-analytics-engine-review-8930886) --- **"[Great tool](https://www.g2.com/survey_responses/dmway-analytics-engine-review-8749550)"** **Rating:** 5.0/5.0 stars *— Vishal S.* [Read full review](https://www.g2.com/survey_responses/dmway-analytics-engine-review-8749550) --- ### 23. [EmcienPatterns](https://www.g2.com/products/emcien-emcienpatterns/reviews) EmcienPatterns analyzes your dirty data, as-is , ignoring missing values, mismatched formatting, and other imperfections, so you can get your project off-the-ground quickly and easily without a time-consuming data cleanse or scrub. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate EmcienPatterns?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 8.9/10) - **Algorithms:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind EmcienPatterns?** - **Seller:** [Emcien](https://www.g2.com/sellers/emcien) - **HQ Location:** N/A - **Twitter:** @Emcien (1,106 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/emcien (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 50% Mid-Market #### What Are Recent G2 Reviews of EmcienPatterns? **"[Analytics can be done better with this tool](https://www.g2.com/survey_responses/emcienpatterns-review-8286306)"** **Rating:** 4.0/5.0 stars *— Lokesh K.* [Read full review](https://www.g2.com/survey_responses/emcienpatterns-review-8286306) --- **"[Very good ,amazing](https://www.g2.com/survey_responses/emcienpatterns-review-8307095)"** **Rating:** 5.0/5.0 stars *— karan r.* [Read full review](https://www.g2.com/survey_responses/emcienpatterns-review-8307095) --- ### 24. [Endor](https://www.g2.com/products/endor/reviews) Endor is a predictions protocol that provides automated, accurate, affordable predictions, for individuals and businesses. **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Endor?** - **Algorithms:** 6.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Endor?** - **Seller:** [Endor](https://www.g2.com/sellers/endor) - **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:** 50% Mid-Market, 50% Small-Business #### What Are Recent G2 Reviews of Endor? **"[Satisfying experience](https://www.g2.com/survey_responses/endor-review-9801330)"** **Rating:** 5.0/5.0 stars *— Verified User in Accounting* [Read full review](https://www.g2.com/survey_responses/endor-review-9801330) --- **"[Endor has great UX/UI and are a budding company!](https://www.g2.com/survey_responses/endor-review-9804915)"** **Rating:** 5.0/5.0 stars *— Verified User in Education Management* [Read full review](https://www.g2.com/survey_responses/endor-review-9804915) --- ### 25. [Evolution Platform](https://www.g2.com/products/evolution-platform/reviews) The Evolution Platform is a comprehensive data intelligence system fueled by big data and advanced analytics that are rooted in neuroscience. The system runs on an innovative cloud-based technology platform that collects, processes and analyzes millions of data points every day to organize, score and catalog information business executives need to make confident business decisions. **Average Rating:** 4.8/5.0 **Total Reviews:** 2 **Who Is the Company Behind Evolution Platform?** - **Seller:** [evolve24](https://www.g2.com/sellers/evolve24) - **Year Founded:** 2004 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/evolve24/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Recent G2 Reviews of Evolution Platform? **"[online business platform](https://www.g2.com/survey_responses/evolution-platform-review-8728869)"** **Rating:** 4.5/5.0 stars *— Abeysinghe Pathirana R.* [Read full review](https://www.g2.com/survey_responses/evolution-platform-review-8728869) --- **"[The Future of Digital Transformation With Evolution With Platform](https://www.g2.com/survey_responses/evolution-platform-review-8742094)"** **Rating:** 5.0/5.0 stars *— Anil k.* [Read full review](https://www.g2.com/survey_responses/evolution-platform-review-8742094) --- ## 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.