# Best Predictive Analytics Tools and Software - Page 6 *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 ## How Many Predictive Analytics Software Products Does G2 Track? **Total Products under this Category:** 287 ### Category Stats (May 2026) - **Average Rating**: 4.45/5 (↑0.01 vs Apr 2026) - **New Reviews This Quarter**: 107 - **Buyer Segments**: Enterprise 35% │ Small-Business 34% │ Mid-Market 31% - **Top Trending Product**: SAS Visual Forecasting (+0.049) *Last updated: May 18, 2026* ## How Does G2 Rank Predictive Analytics Software Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 30,100+ Authentic Reviews - 287+ 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** ### Alteryx Alteryx, through it's Alteryx One platform, helps enterprises transform complex, disconnected data into a clean, AI-ready state. Whether you’re creating financial forecasts, analyzing supplier performance, segmenting customer data, analyzing employee retention, or building competitive AI applications from your proprietary data, Alteryx One makes it easy to cleanse, blend, and analyze data to unlock the unique insights that drive impactful decisions. AI-Guided Analytics Alteryx automates and simplifies every stage of data preparation and analysis, from validation and enrichment to predictive analytics and automated insights. Incorporate generative AI directly into your workflows to streamline complex data tasks and generate insights faster. Unmatched flexibility, whether you prefer code-free workflows, natural language commands, or low-code options, Alteryx adapts to your needs. Trusted. Secure. Enterprise-Ready. Alteryx is trusted by over half of the Global 2000 and 19 of the top 20 global banks. With built-in automation, governance, and security, your workflows can scale and maintain compliance while delivering consistent results. And it doesn’t matter if your systems are on-premises, hybrid, or in the cloud; Alteryx fits effortlessly into your infrastructure. Easy to Use. Deeply Connected. What truly sets Alteryx apart is our focus on efficiency and ease of use for analysts and our active community of 700,000 Alteryx users to support you at every step of your journey. With seamless integration to data everywhere including platforms like Databricks, Snowflake, AWS, Google, SAP, and Salesforce, our platform helps unify siloed data and accelerate getting to insights. Visit Alteryx.com for more information, and to start your free trial. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=499&secure%5Bdisplayable_resource_id%5D=499&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=499&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=989&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%3Fpage%3D3&secure%5Btoken%5D=3c35a1d03730514d98b3664cf5ebe1a4398150e12dffe8199b85805c88867e50&secure%5Burl%5D=https%3A%2F%2Fwww.alteryx.com%2Ftrial%3Futm_source%3Dg2%26utm_medium%3Dreviewsite%26utm_campaign%3DFY25_Global_AllRegions_AlwaysOn_AllPersonas_IndustryAgnostic%26utm_content%3Dg2_freetrial&secure%5Burl_type%5D=free_trial) --- ## What Are the Top-Rated Predictive Analytics Software Products in 2026? ### 1. [HyperSense AI](https://www.g2.com/products/hypersense-ai/reviews) HyperSense platform is an end-to-end augmented analytics platform that helps enterprises makes faster, better decisions by leveraging Artificial Intelligence (AI) across the data value chain. It contains all the next-gen data analytics capabilities enterprises need in one flexible and modular platform. HyperSense‘s unique no-code capabilities allow users without a knowledge of coding to easily aggregate data from disparate sources, turn data into insights by building, interpreting, and tuning AI models, and effortlessly share their findings across the organization. It uses enabling technologies such as machine learning and AI to assist with data preparation, insight generation, and insight explanation. It empowers experts as well as non-data scientists by automating many aspects of data science, including model development, management, and deployment of AI models. HyperSense also includes several pre-built analytics use cases in marketing, finance, and technology verticals for enterprises to deliver ultra-fast results. In addition, customers can use the HyperSense platform to build their own tailor-made, AI-powered analytics applications. **Average Rating:** 4.6/5.0 **Total Reviews:** 4 **How Do G2 Users Rate HyperSense AI?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) **Who Is the Company Behind HyperSense AI?** - **Seller:** [Subex](https://www.g2.com/sellers/subex) - **Year Founded:** 1992 - **HQ Location:** Westminster, US - **Twitter:** @Subex (5,516 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/subex-ltd/ (1,483 employees on LinkedIn®) - **Ownership:** NSE: SUBEXLTD **Who Uses This Product?** - **Company Size:** 75% Small-Business, 25% Mid-Market #### What Are HyperSense AI's Pros and Cons? **Pros:** - Analytics (2 reviews) - Insights (2 reviews) - AI Capabilities (1 reviews) - AI Integration (1 reviews) - Analysis Efficiency (1 reviews) **Cons:** - Expensive (3 reviews) - Difficult Learning (2 reviews) - Learning Curve (2 reviews) - Cost Issues (1 reviews) - Deployment Issues (1 reviews) ### 2. [Hypersonix](https://www.g2.com/products/hypersonix/reviews) Hypersonix AI is a sophisticated solution tailored for the retail industry, designed to assist users in navigating the intricate landscape of competitor analysis, pricing strategies, promotional effectiveness, inventory management, and demand forecasting. By leveraging advanced algorithms specifically developed for the commerce industry, Hypersonix AI empowers retailers to make informed decisions that enhance their operational efficiency and market competitiveness. This product primarily serves retail merchants who seek to gain a deeper understanding of their market dynamics and optimize their business strategies to maximize product margins. With the retail environment becoming increasingly complex, the need for actionable intelligence is critical. Hypersonix AI serves as a vital tool for retailers looking to analyze their competitors' activities, understand pricing trends, and evaluate the effectiveness of their promotions. By harnessing the power of data, retailers can identify opportunities for growth and make strategic decisions that align with their business objectives. Key features of Hypersonix AI include real-time competitor analysis, dynamic pricing recommendations, and comprehensive inventory forecasting. The platform provides users with up-to-date intelligence into competitor pricing and promotional strategies, allowing retailers to adjust their own approaches accordingly. Additionally, the system offers predictive analytics that assists merchants in forecasting inventory needs based on historical data and market trends, ensuring they can meet customer demand without overstocking. The benefits of utilizing Hypersonix AI extend beyond just data analysis; it fosters a culture of data-driven decision-making within organizations. Retailers can accelerate their decision-making processes, enabling them to respond swiftly to market changes, capitalize on emerging trends and transform their commerce strategies. By maximizing profit margins and enhancing revenue growth, Hypersonix AI positions retailers to be more competitive in a fast-paced market environment. The integration of actionable insights from ProfitGPT further enriches the user experience, generating tailored GPT recommendations that align with specific business goals. In essence, Hypersonix AI stands out in the retail analytics category by offering a comprehensive suite of features that address the unique challenges faced by merchants. Its focus on actionable insights and advanced algorithms tailored for the commerce industry makes it an essential tool for retailers aiming to thrive in an increasingly competitive landscape. **Average Rating:** 4.8/5.0 **Total Reviews:** 12 **How Do G2 Users Rate Hypersonix?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Hypersonix?** - **Seller:** [Hypersonix](https://www.g2.com/sellers/hypersonix) - **Year Founded:** 2018 - **HQ Location:** San Jose, US - **LinkedIn® Page:** https://www.linkedin.com/company/hypersonix-ai/ (104 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Retail - **Company Size:** 42% Mid-Market, 42% Small-Business ### 3. [Indicio](https://www.g2.com/products/indicio/reviews) Indicio's forecasting platform automates the latest forecasting models with just a click of a button. It handles the whole process, from data cleaning, adjusting for outliers and seasonal patterns, and variable selection (which factors to include in a forecasting model) to building and evaluating models, weighting models together based on performance for each time horizon, and scenario analysis to answer what-if questions. Indicio also supports multi-level forecasts, using information from all levels and reconciling the forecasts to align them and optimize them for accuracy. Models include: Time series models, econometric models, mixed frequency models, business cycle models, and product lifecycle models. Indicio also addresses the black box issue by incorporating layers of explainability, which makes the forecasts more transparent and easier to communicate across the organization. Indicio is fully integrated with data vendors, planning-, analytics and visualization tools, which enables organizations of any size, industry, or resource level to achieve improved business outcomes through accurate forecasting. **Average Rating:** 4.6/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Indicio?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Indicio?** - **Seller:** [Indicio Technologies](https://www.g2.com/sellers/indicio-technologies) - **Year Founded:** 2015 - **HQ Location:** Stockholm, Stockholm County, Sweden - **LinkedIn® Page:** https://www.linkedin.com/company/indicio-technologies (7 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 75% Enterprise #### What Are Indicio's Pros and Cons? **Pros:** - Customer Support (1 reviews) - Powerful Tools (1 reviews) ### 4. [JADBio AutoML](https://www.g2.com/products/jadbio-automl/reviews) JADBio makes it easy and affordable for health-data analysts and life-science professionals to use data science to discover knowledge while reducing time and effort by combining a robust end-to-end machine learning platform with a wealth of capabilities, ranging from smart feature selection to the reuse of predictive models. JADBio’s healthcare purpose-built platform provides leading-edge AI tools and automation capabilities, enabling life-science professionals to build and deploy accurate and explainable predictive models with speed and ease, even if they have no data science expertise. The platform supports preprocessing and imputation of missing values; it selects the features and modeling, tunes for hyper-parameters, and effectively tests thousands of algorithmic configurations to identify the best ones to produce the final ML model. The platform estimates its predictive performance and produces a wealth of visualizations and reports. Customers have the ability to select multiple selected feature subsets that lead to equally predictive models, build their own advanced custom models using JADBio’s extensive content library, or take off the shelf models and customize them as their own. All produced models can be downloaded in executable form, applied to an external validation set, or run manually by feeding-in the observed value of the selected features. JADBio’s library contains thousands of algorithms and pre-built models that can predict common healthcare issues, but also novel features like causal discovery or survival prediction and other time-to-event outcomes. The pre-built elements and AutoML capabilities of JADBio provide a low-code option for health-data scientists, bioinformaticians, and organizations without internal data science expertise to analyze their health data easily and affordably. Meanwhile, the JADBio REST API allows for advanced users to leverage JADBio’s capabilities in their own applications or to automate their workflows and processes. By providing an end-to-end platform purpose-built for life-scientists, backed by research and development in Europe’s largest research centers, we allow customers to utilize their ever-growing biomedical data and put them into production within minutes. **Average Rating:** 5.0/5.0 **Total Reviews:** 4 **How Do G2 Users Rate JADBio AutoML?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10) **Who Is the Company Behind JADBio AutoML?** - **Seller:** [GnosisDA](https://www.g2.com/sellers/gnosisda) - **Year Founded:** 2013 - **HQ Location:** Los Angeles, US - **Twitter:** @WeAreJADBio (337 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/jadbio (10 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 60% Mid-Market, 40% Small-Business ### 5. [OpenOs](https://www.g2.com/products/openos/reviews) OpenOs is a no-code data & predictive analysis platform. It allows product & marketing teams to build prediction models, query their database, create dashboards & conduct engage in advanced data analysis techniques like clustering & time series forecasting, all via a natural language interface. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate OpenOs?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **AI Text Summarization:** 5.0/10 (Category avg: 8.1/10) - **Algorithms:** 6.7/10 (Category avg: 8.5/10) - **AI Text Generation:** 1.7/10 (Category avg: 8.1/10) **Who Is the Company Behind OpenOs?** - **Seller:** [OpenOs](https://www.g2.com/sellers/openos) - **Year Founded:** 2023 - **HQ Location:** Delaware, US - **LinkedIn® Page:** https://www.linkedin.com/company/openos/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are OpenOs's Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Easy Integrations (1 reviews) - Implementation Ease (1 reviews) - Intuitive (1 reviews) **Cons:** - Limited Features (1 reviews) - Missing Features (1 reviews) ### 6. [OpenText Data Discovery (Magellan)](https://www.g2.com/products/opentext-data-discovery-magellan/reviews) OpenText Magellan is a flexible AI and Analytics platform that combines open source machine learning with advanced analytics, enterprise-grade BI, and capabilities to acquire, merge, manage and analyze Big Data and Big Content stored in your Enterprise Information Management systems. Magellan enables machine-assisted decision making, automation, and business optimization. **Average Rating:** 4.2/5.0 **Total Reviews:** 5 **How Do G2 Users Rate OpenText Data Discovery (Magellan)?** - **Has the product been a good partner in doing business?:** 7.2/10 (Category avg: 9.0/10) - **Algorithms:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind OpenText Data Discovery (Magellan)?** - **Seller:** [OpenText](https://www.g2.com/sellers/opentext) - **Year Founded:** 1991 - **HQ Location:** Waterloo, ON - **Twitter:** @OpenText (21,574 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2709/ (23,339 employees on LinkedIn®) - **Ownership:** NASDAQ:OTEX **Who Uses This Product?** - **Company Size:** 40% Enterprise, 40% Mid-Market #### What Are OpenText Data Discovery (Magellan)'s Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Features (1 reviews) **Cons:** - Insufficient Learning Resources (1 reviews) - Insufficient Training (1 reviews) - Lack of Guidance (1 reviews) - Lack of Tutorials (1 reviews) - Learning Curve (1 reviews) ### 7. [PreCrime Defense](https://www.g2.com/products/precrime-defense/reviews) PreCrime™ Defense is a preemptive scam, fraud, and impersonation protection solution that can prevent account takeover and credit card or credential stealing from customers’ customers, or protect our customers’ suppliers from being attacked in email compromises. This mitigates fraud, reputational harm risk from negative brand damage, or customer credential stealing. PreCrime Defense identifies a malicious infrastructure only minutes after its creation, puts a network disruption in place within minutes of identification, and requests action to various takedown operators, who subsequently disturb DNS resolution or content removal, resulting in infrastructure takedown. BforeAI’s privileged access to takedown operators (including domain and DNS, content, industry alliances for abuse and malware prevention, law enforcement agencies, and independent response bodies) ensures malicious infrastructure is promptly removed. Our predictive technology is so effective that more than 80% of our takedowns are completed before there’s content on the infrastructure. BforeAI’s disruption partners, including VirusTotal, Quad9, Spamhaus, and Google Safe Browsing, subsequently put the identified malicious domain in a DNS resolution blocklist. Within 10 minutes on average, up to 75% of the traffic to the malicious infrastructure is already blocked. A step-by-step breakdown of how PreCrime works: Data Collection and Pre-processing PreCrime begins by collecting multiple network data points from thousands of sensors deployed across 98% of the surface internet. The tool observes more than 1 billion infrastructures and 500 million domains on a continuous basis – of them, 500,000 are created every day. Data is collected between 5 to 10 times per hour which enables observing any changes on a continuous and precise basis. This data is then preprocessed to remove noise and irrelevant information, ensuring that only meaningful interactions are considered. In total, PreCrime collects several terabytes of data on a daily basis. Graph Construction and Feature Extraction Next, PreCrime constructs a graph from the preprocessed data. Features such as query frequency, temporal patterns, and resolution paths are extracted and incorporated into the graph. Over 400 billion behaviors and edges are mapped in the graph database. These features provide a detailed view of domain interactions, which is crucial for accurate inference. Application of Graph Inference Techniques PreCrime applies various graph inference techniques to analyze the constructed graph. Four billion malicious behaviors are mapped in PreCrime. Community detection algorithms identify clusters of domains that exhibit similar behavior, while anomaly detection algorithms highlight nodes with abnormal patterns. Link prediction algorithms are used to forecast potential future connections, helping to identify emerging threats. Identification and Mitigation: Disruption and Takedown PreCrime re-scores over 20 million suspicious infrastructures on a daily average out of which it predicts 100,000 future attack infrastructures. Based on the results of the graph inference analysis, PreCrime detects infrastructures that exhibit characteristics of malicious behavior. They are flagged for further investigation and mitigation. PreCrime's preemptive approach ensures that potential threats are identified and neutralized before they can cause harm. **Average Rating:** 5.0/5.0 **Total Reviews:** 2 **How Do G2 Users Rate PreCrime Defense?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) **Who Is the Company Behind PreCrime Defense?** - **Seller:** [BforeAI](https://www.g2.com/sellers/bforeai) - **Year Founded:** 2020 - **HQ Location:** New York, New York, United States - **LinkedIn® Page:** https://www.linkedin.com/company/bforeai (81 employees on LinkedIn®) - **Ownership:** Privately owned **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are PreCrime Defense's Pros and Cons? **Pros:** - Automation (2 reviews) - Efficiency (2 reviews) - Features (2 reviews) - Business Growth (1 reviews) - Content Management (1 reviews) **Cons:** - Slow Loading (1 reviews) - UX Improvement (1 reviews) ### 8. [Predelo](https://www.g2.com/products/predelo/reviews) Predelo is an AI-powered Decision Agent-as-a-Service solution designed to revolutionize workforce management for shift-based businesses. By integrating real-time and historical data, Predelo automates and optimizes scheduling tasks, ensuring they are fair and aligned with demand at granular levels, such as individual stores or departments. Key Features and Functionality: - Adaptive Forecasting: Utilizes AI models to predict labor needs by analyzing real-time and historical data, enabling precise demand forecasting. - Automated Decision-Making: Removes the cognitive burden of scheduling by automating repetitive tasks, allowing leaders to focus on performance rather than administrative duties. - One-Click Integrations: Seamlessly integrates with existing tools and platforms, facilitating easy adoption and minimal disruption to current workflows. - Decision Engine: Operates in the background to self-optimize scheduling tasks, ensuring fairness and alignment with business objectives. Primary Value and Solutions Provided: Predelo addresses the complexities of managing shift-based workforces by automating scheduling processes, thereby improving profitability, reducing compliance risks, and simplifying day-to-day operations. By leveraging AI-driven insights, businesses can enhance operational efficiency, reduce costs, and improve customer satisfaction. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Predelo?** - **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 Predelo?** - **Seller:** [Predelo](https://www.g2.com/sellers/predelo) - **Year Founded:** 2022 - **HQ Location:** Sydney, AU - **Twitter:** @PredeloHQ (516 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/predelo/ (16 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business ### 9. [Predicsis](https://www.g2.com/products/predicsis/reviews) A self-serve software to help you discover actionable insights. **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **Who Is the Company Behind Predicsis?** - **Seller:** [Predicsis](https://www.g2.com/sellers/predicsis) - **Year Founded:** 2013 - **HQ Location:** Lannion, FR - **LinkedIn® Page:** https://www.linkedin.com/company/5051959 (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market ### 10. [Prevedere](https://www.g2.com/products/prevedere-prevedere/reviews) Prevedere's platform includes global data and patented AI engine to build econometric models at scale **Average Rating:** 3.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Prevedere?** - **AI Text Summarization:** 6.7/10 (Category avg: 8.1/10) - **Algorithms:** 8.3/10 (Category avg: 8.5/10) - **AI Text Generation:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Prevedere?** - **Seller:** [Prevedere](https://www.g2.com/sellers/prevedere) - **Year Founded:** 1994 - **HQ Location:** Boston, US - **LinkedIn® Page:** https://www.linkedin.com/company/board (924 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Small-Business, 50% Mid-Market ### 11. [Seqwa](https://www.g2.com/products/seqwa/reviews) Seqwa is a low-cost, easy-to-use hosted search platform for solving your critical search requirements. It supports three uniquely beneficial functions: Autocomplete (query suggestions and top full-text search results), Search (Full-text Search with semantic ranking for intent), and Semantic Search (Intent-driven search). Work with one or all the functions based on your needs. Set up a functional search utility in minutes: upload your data, generate API keys, publish a demo user interface, and search! Enjoy a seamless search experience supported by a highly available and scalable cloud infrastructure. **Average Rating:** 4.0/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Seqwa?** - **Algorithms:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Seqwa?** - **Seller:** [Seqwa](https://www.g2.com/sellers/seqwa) - **Year Founded:** 2018 - **HQ Location:** Hyderabad, IN - **LinkedIn® Page:** https://www.linkedin.com/company/kalyankaranalytics (5 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market, 50% Small-Business ### 12. [Signals Analytics](https://www.g2.com/products/signals-analytics/reviews) Signals Analytics is a predictive analytics platform built to help leading brands gain on-demand competitive consumer insights from trillions of external data points. Our journey began in 2009, when two Israeli military intelligence officers with decades of combined experience in utilizing open source (OSINT), signals (SIGINT), and human (HUMINT) intelligence to enable covert operations, realized that these same concepts, processes, and technologies deployed in the battlefield could be utilized to make better decisions in the boardroom. We are now a 130-person strong company headquartered and growing in New York, with an office in Israel. We've created a next-generation advanced analytics platform that is used by many of the world’s leading pharmaceutical and consumer brands for optimizing their product portfolios, accelerating new product development, and propelling breakthrough innovations. We are unique in our ability to connect disparate external data sources, continually refresh the data and allow our customers to configure the platform to meet their needs, so the outputs are timely, accurate, actionable, and relevant to their business. **Average Rating:** 3.8/5.0 **Total Reviews:** 2 **Who Is the Company Behind Signals Analytics?** - **Seller:** [Signals Analytics](https://www.g2.com/sellers/signals-analytics) - **HQ Location:** San Francisco, California, United States - **Twitter:** @SignalsAnalytic (2,764 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/skaicommerce (703 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business ### 13. [Trendskout](https://www.g2.com/products/trendskout/reviews) Automate your Business with ready to use Machine Learning **Average Rating:** 3.0/5.0 **Total Reviews:** 3 **How Do G2 Users Rate Trendskout?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10) - **Algorithms:** 5.8/10 (Category avg: 8.5/10) **Who Is the Company Behind Trendskout?** - **Seller:** [Trendskout](https://www.g2.com/sellers/trendskout) - **Year Founded:** 2019 - **HQ Location:** Ghent, BE - **LinkedIn® Page:** https://www.linkedin.com/company/trendskout (17 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise ### 14. [Wipro Data Discovery Platform](https://www.g2.com/products/wipro-data-discovery-platform/reviews) Extract deep insights from data with Wipro’s Data Discovery Platform (DDP) and use sophisticated techniques such as visual sciences and storytelling to simplify interpretation and decision-making. The core of the platform brings together the Wipro HOLMES Artificial Intelligence PlatformTM and stream computing to deliver wide-ranging insights such as preventive action for customer attrition, predictive maintenance of assets to minimize downtime and practices to reinforce online reputation. **Average Rating:** 4.8/5.0 **Total Reviews:** 2 **Who Is the Company Behind Wipro Data Discovery Platform?** - **Seller:** [Wipro](https://www.g2.com/sellers/wipro) - **Year Founded:** 1945 - **HQ Location:** Bangalore - **Twitter:** @Wipro (513,873 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1318/ (264,517 employees on LinkedIn®) - **Ownership:** WIT **Who Uses This Product?** - **Company Size:** 50% Enterprise, 50% Mid-Market #### What Are Wipro Data Discovery Platform's Pros and Cons? **Pros:** - Data Visualization (1 reviews) - Ease of Understanding (1 reviews) - Interface Design (1 reviews) - User Interface (1 reviews) **Cons:** - Missing Functionality (1 reviews) - Performance Issues (1 reviews) ### 15. [Yokozuna Data](https://www.g2.com/products/yokozuna-data/reviews) YOKOZUNA data, a state-of-the-art machine learning engine that predicts the behavior of each individual user **Average Rating:** 4.5/5.0 **Total Reviews:** 2 **How Do G2 Users Rate Yokozuna Data?** - **Algorithms:** 6.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Yokozuna Data?** - **Seller:** [Yokozuna Data](https://www.g2.com/sellers/yokozuna-data) - **Year Founded:** 2017 - **HQ Location:** Tokyo, JP - **LinkedIn® Page:** https://www.linkedin.com/company/yokozunadata/ (2 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business ### 16. [20:20 RDI Predictive Analytics](https://www.g2.com/products/20-20-rdi-predictive-analytics/reviews) A uniquely tailorable predictive model, using machine learning to optimize the store segmentation for developing markets with incomplete store sales data. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate 20:20 RDI Predictive Analytics?** - **AI Text Summarization:** 8.3/10 (Category avg: 8.1/10) - **Algorithms:** 6.7/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind 20:20 RDI Predictive Analytics?** - **Seller:** [20:20 Retail Data Insight](https://www.g2.com/sellers/20-20-retail-data-insight) - **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% Enterprise ### 17. [AirFusion](https://www.g2.com/products/airfusion/reviews) AirFusion develops AI-driven software solutions for infrastructure monitoring. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind AirFusion?** - **Seller:** [AirFusion](https://www.g2.com/sellers/airfusion) - **Year Founded:** 2013 - **HQ Location:** Lincoln, US - **LinkedIn® Page:** https://www.linkedin.com/company/9452501 (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business ### 18. [Arimo BAI](https://www.g2.com/products/arimo-bai/reviews) Arimo is an artificial intelligence software. Arimo's machine learning algorithms, powerful big-compute platform, and data management deliver predictive apps for business users, data scientists and IT. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Arimo BAI?** - **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 Arimo BAI?** - **Seller:** [Arimo](https://www.g2.com/sellers/arimo) - **Year Founded:** 2013 - **HQ Location:** Mountain View - **Twitter:** @arimoinc (3,686 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/arimo-inc-/about (5 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business ### 19. [BigML](https://www.g2.com/products/bigml/reviews) Enjoy the power of Programmatic Machine Learning **Average Rating:** 4.7/5.0 **Total Reviews:** 24 **How Do G2 Users Rate BigML?** - **Has the product been a good partner in doing business?:** 9.1/10 (Category avg: 9.0/10) - **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 BigML?** - **Seller:** [BigML](https://www.g2.com/sellers/bigml) - **Year Founded:** 2011 - **HQ Location:** Corvallis, OR - **Twitter:** @bigmlcom (6,085 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1742510 (30 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Senior Software Engineer, Software Engineer - **Top Industries:** Computer Software - **Company Size:** 88% Small-Business, 8% Mid-Market ### 20. [C5i Discovery](https://www.g2.com/products/c5i-discovery/reviews) Augmented analytics platform powered by generative AI to drive decision intelligence through personalized, actionable insights and using conversational AI to foster adoption and decision-first culture. Enterprises, globally, are in different states of maturity in their analytics journey and continually investing on BI and analytics. What is missing then? Lack of adoption and impact on business makes the journey devoid of ROI. C5i Discovery is here to turn the situation around by providing simple, smart and speedy ways of getting insights and making decisions. In action, C5i Discovery has delivered business impacts like: 2X increase in speed to contextual ecommerce insights 34% reduction in finished goods waste due to stales and damages 86% automation of brand performance reporting 57% reduction of time-to-insights for sales performance Augmented analytics capabilities of Discovery help businesses at various stages of decision making with: • Descriptive analytics (connected insights) • Diagnostic analytics (anomaly detection & causal) • Predictive analytics (early warning signals and forecasting) • Prescriptive analytics (impact assessment, recommendations and scenario planning). **Average Rating:** 4.3/5.0 **Total Reviews:** 3 **Who Is the Company Behind C5i Discovery?** - **Seller:** [C5i](https://www.g2.com/sellers/c5i) - **Year Founded:** 2000 - **HQ Location:** Edison, New Jersey, United States - **LinkedIn® Page:** https://www.linkedin.com/company/c5i-ai (1,463 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 67% Mid-Market, 33% Enterprise ### 21. [Codygon- AI and Analytics](https://www.g2.com/products/codygon-ai-and-analytics/reviews) Codygon is a technology company based in India, solving complex business challenges using technology, specializing in AI and analytics. Our experts have helped companies like Pfizer, Merck, Aramco and others get the most out of their data. We transform your data into compelling visual stories, providing clarity, insights, and a competitive edge in your decision-making process. Get tailored dashboards that align with your unique business goals, user-friendly interfaces for seamless navigation and visual representations that tell a story at a glance. Our analytics services include data visualization using Power BI, Spotfire, Tableau, Looker and others; data engineering/ETL and AI using Dataiku, Alteryx, Databricks, etc. on various data stores like Amazon S3, Redshift, Oracle DB, MSSQL, Snowflake, etc. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Codygon- AI and Analytics?** - **Algorithms:** 6.7/10 (Category avg: 8.5/10) **Who Is the Company Behind Codygon- AI and Analytics?** - **Seller:** [Codygon](https://www.g2.com/sellers/codygon) - **Year Founded:** 2023 - **HQ Location:** Mumbai, IN - **Twitter:** @CodygonTech (9 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/codygontech/about/ (4 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Codygon- AI and Analytics's Pros and Cons? **Pros:** - AI Capabilities (1 reviews) - Analytics (1 reviews) - Automation (1 reviews) - Ease of Use (1 reviews) - Integrations (1 reviews) **Cons:** - Expensive (1 reviews) - Limited Features (1 reviews) ### 22. [Compellon](https://www.g2.com/products/compellon/reviews) Compellon revolutionizes the speed and ease of using data to get to the heart of what matters and which actions will best achieve business outcomes. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Compellon?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10) **Who Is the Company Behind Compellon?** - **Seller:** [Compellon](https://www.g2.com/sellers/compellon) - **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% Enterprise ### 23. [Concentric](https://www.g2.com/products/concentric/reviews) Concentric helps companies through licensing, support, consulting, and software development. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Concentric?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10) **Who Is the Company Behind Concentric?** - **Seller:** [Concentric](https://www.g2.com/sellers/concentric) - **Year Founded:** 2010 - **HQ Location:** Cambridge, US - **LinkedIn® Page:** https://www.linkedin.com/company/9267463 (21 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are Concentric's Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Easy Integrations (1 reviews) - Machine Learning (1 reviews) **Cons:** - Cost Issues (1 reviews) - Expensive (1 reviews) ### 24. [Cue](https://www.g2.com/products/e-cue-ai-cue/reviews) Cue is your elite AI Analyst. Built for growth leaders. Cue combines data science rigor with business-specific intelligence. Access insights directly in Slack or through our intuitive interface — always accurate, customized to your practice, and trained and maintained by GTM experts you can trust. Elite analysis. Engineered for the Boardroom AND the day-to-day. **Average Rating:** 5.0/5.0 **Total Reviews:** 4 **How Do G2 Users Rate Cue?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) **Who Is the Company Behind Cue?** - **Seller:** [e:cue AI](https://www.g2.com/sellers/e-cue-ai) - **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% Small-Business, 50% Mid-Market #### What Are Cue's Pros and Cons? **Pros:** - Automation (3 reviews) - Ease of Use (3 reviews) - Helpful (3 reviews) - Easy Integrations (2 reviews) - Time-saving (2 reviews) **Cons:** - Learning Curve (1 reviews) ### 25. [Datanomix](https://www.g2.com/products/datanomix/reviews) Datanomix Production Monitoring software gives you visibility into the root cause of issues and prescriptive guidance on how to fix them. Real-time and historical insights show your entire team where they need to focus NOW to meet your delivery and profitability goals. **Average Rating:** 4.8/5.0 **Total Reviews:** 7 **How Do G2 Users Rate Datanomix?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **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 Datanomix?** - **Seller:** [Datanomix](https://www.g2.com/sellers/datanomix) - **Year Founded:** 2018 - **HQ Location:** Nashua, US - **Twitter:** @DatanomixInc (897 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/datanomix-inc./ (36 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 86% Mid-Market, 29% Small-Business #### What Are Datanomix's Pros and Cons? **Pros:** - Automation (1 reviews) - Business Growth (1 reviews) - Customization (1 reviews) - Dashboard Management (1 reviews) - Dashboards (1 reviews) ## 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) - [Embedded Business Intelligence Software](https://www.g2.com/categories/embedded-business-intelligence) - [Marketing Analytics Software](https://www.g2.com/categories/marketing-analytics) - [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) - [Statistical Analysis Software](https://www.g2.com/categories/statistical-analysis) - [Time Series Intelligence Software](https://www.g2.com/categories/time-series-intelligence) --- ## 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.