# Best Predictive Analytics Tools and Software - Page 7 *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 ## 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&secure%5Btoken%5D=f3a88359c4a324ff6aec0778ff6346f979d3e20f6de48d9e44747e6f03c18c41&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. [Enveyo](https://www.g2.com/products/enveyo/reviews) Enveyo's cloud-based suite of solutions enables organizations to optimize every step of their shipping processes. From the moment the order is placed to the moment the package is delivered, Enveyo's logistics software is designed to save your organization time, money, and headaches. Turn your shipping process into an advantage with Enveyo's suite of logistics software: Modeling: Take control of your decision-making by using historical data and predictive analytics to determine the long-term effects of logistics process adjustments before you make them. Insights: Increase efficiency and save money with comparative supply chain analytics at your fingertips. Create custom reports on carrier performance, shipping patterns, weights, service types, and more to uncover business-transforming opportunities. Cloudroute: Take action on what your shipping data is telling you. Get products to your customers in the most efficient and cost-effective manner by leveraging automated shipping rules specific to your business' needs. Further improve your customer delivery experience through real-time email or SMS alerting features. Audit: Recover revenue and hold carriers to contractual obligations. Audit monitors each shipment, compares your carriers' performance to your agreements, and follows up to get you the credits you deserve. **Average Rating:** 3.3/5.0 **Total Reviews:** 3 **Who Is the Company Behind Enveyo?** - **Seller:** [Enveyo](https://www.g2.com/sellers/enveyo) - **HQ Location:** Provo, US - **LinkedIn® Page:** http://www.linkedin.com/company/enveyo (27 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 25% Enterprise #### What Are Enveyo's Pros and Cons? **Pros:** - Efficiency Improvement (2 reviews) - Features (2 reviews) - Functionality (2 reviews) - Automation (1 reviews) - Customer Experience (1 reviews) **Cons:** - Missing Features (2 reviews) - Tracking Issues (2 reviews) - Inadequate Analytics (1 reviews) - Poor Visual Quality (1 reviews) - Syncing Issues (1 reviews) ### 2. [Equalis Predictive Analytics](https://www.g2.com/products/equalis-predictive-analytics/reviews) Equalis Predictive Analytics is a comprehensive solution designed to monitor real-time data from various sensors, analyze it using advanced algorithms and artificial neural networks, and proactively address potential system failures before they occur. This is achieved through an intuitive "Traffic Light" dashboard and a robust neural network module, enabling users to visualize system performance and implement timely corrective actions. Key Features and Functionality: - Real-Time Data Monitoring: Integrates with multiple data sources, including Equalis embedded controllers, in-house data collection systems, and third-party acquisition systems, to continuously monitor system performance. - Advanced Data Analysis: Utilizes signature algorithms and artificial neural networks to process and interpret data, identifying patterns and anomalies indicative of potential issues. - Intuitive Decision Dashboard: Features a user-friendly "Traffic Light" graphical user interface (GUI that provides clear visual indicators of system status, facilitating quick comprehension and response. - Neural Network Module: Offers tools to design, train, and simulate neural networks, enabling the development of models that mimic human brain functions to solve complex engineering and scientific problems. Primary Value and User Solutions: Equalis Predictive Analytics empowers organizations to preemptively identify and mitigate potential system failures, thereby reducing downtime and maintenance costs. By providing real-time insights and predictive capabilities, it enhances operational efficiency and reliability across various industries, including automotive, aerospace, and process control. The solution's intuitive interface and advanced analytical tools enable users to make informed decisions swiftly, ensuring optimal system performance and longevity. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Equalis Predictive Analytics?** - **Seller:** [Equalis](https://www.g2.com/sellers/equalis) - **Year Founded:** 2010 - **HQ Location:** Columbus, US - **LinkedIn® Page:** https://www.linkedin.com/company/1108012 (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market ### 3. [GigaSpaces](https://www.g2.com/products/gigaspaces/reviews) GigaSpaces helps enterprises apply AI to real-time, structured operational data, enabling spontaneous, natural language conversations that accelerate decision-making, improve agility in unexpected situations, and surface opportunities and risks in everyday business. With over two decades of experience powering mission-critical systems, GigaSpaces is a pioneer in real-time data technology and a trusted foundation for data-driven services across industries, including finance, travel, telecom, and insurance. Headquartered in the US, with offices in Europe and Israel, GigaSpaces helps organizations turn operational data into decisions that are timely, secure, and scalable. The GigaSpaces Portfolio delivers the fastest, scalable and easiest to deploy, suite of software platforms to meet the most challenging enterprise data requirements. Numerous Tier-1 and Fortune-listed organizations and OEMs across financial services, retail, transportation, telecom, healthcare, and more trust GigaSpaces to power their mission critical services to optimize business operations, adhere to regulatory compliance and enhance customer experience. Our offices are located in the US, Europe and Israel with partners around the globe; serving customers such as Morgan Stanley, Bank of America, CSX, Société Générale, Crédit Agricole, Avanza Bank, Avaya, CLSA, and Groupe PSA. **Average Rating:** 4.6/5.0 **Total Reviews:** 11 **How Do G2 Users Rate GigaSpaces?** - **Has the product been a good partner in doing business?:** 8.3/10 (Category avg: 9.0/10) **Who Is the Company Behind GigaSpaces?** - **Seller:** [Gigaspaces](https://www.g2.com/sellers/gigaspaces) - **Year Founded:** 2000 - **HQ Location:** New York City, NY, USA - **Twitter:** @GigaSpaces (2,778 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/25628/ (126 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Enterprise, 36% Mid-Market ### 4. [Infoveave](https://www.g2.com/products/infoveave/reviews) Infoveave is an AI-powered unified data platform that helps enterprises automate data pipelines, improve data quality, enable predictive analytics, and turn insights into measurable business actions — all within a single environment. Unlike traditional BI tools or standalone ETL platforms, Infoveave connects the entire data lifecycle from ingestion and transformation to governance, analytics, and operational execution. Infoveave is built on a strong foundation of data governance and data security, ensuring consistent data management, compliance, and protection. With capabilities like data lineage tracking, metadata management, row-level security, and audit trails, the platform helps maintain data integrity and control. Key Features Fovea - AgenticAI Assistant Infoveave's AgenticAI, Fovea, is embedded across the platform. Fovea assists in building data transformations, suggesting insights, automating workflows, and simplifying advanced analytics, reducing technical dependency and improving cross-team adoption. Data Automation & Integration • 50+ native connectors (cloud apps, databases, warehouses) • Automated data ingestion & transformation • Workflow orchestration with monitoring & alerts • Real-time pipeline visibility AI-Powered Analytics & Predictive Modeling • AutoML for predictive insights • What-if scenario planning • Python integration for advanced modeling • API-accessible analytics endpoints Conversational Dashboards & Self-Service BI • Natural language queries • 100+ interactive visuals • Drill-down exploration • Scheduled & automated reporting Built-in Data Quality & Governance • Automated validation & anomaly detection • Data catalog & lineage tracking • Role-based access control • Audit trails & governance workflows Data Apps & Operational Workflows • Low-code applications • Integrated data capture forms • Automated decision triggers • Insight-to-action workflows Business Value • Faster deployment of data pipelines • Improved data accuracy and trust • Reduced reliance on multiple disconnected tools • Faster decision-making cycles • Measurable operational efficiency Infoveave unifies data automation, AI-powered analytics, governance, and operational workflows into one intelligent platform — turning enterprise data into trusted, actionable decisions. **Average Rating:** 4.9/5.0 **Total Reviews:** 9 **How Do G2 Users Rate Infoveave?** - **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 Infoveave?** - **Seller:** [Noesys Software](https://www.g2.com/sellers/noesys-software) - **HQ Location:** N/A - **Twitter:** @infoveave (15 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/infoveave-pty-ltd/ (3 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 44% Small-Business, 22% Enterprise ### 5. [iTuring.ai](https://www.g2.com/products/ituring-ai/reviews) iTuring.ai is an enterprise-grade AI/ML zero-code platform that automates end-to-end AI/ML lifecycle from Data to Decision, along with complete governance and ethicality. It is specifically tailored for the BFSI sector, not limited to banks and insurers. Founded in 2018 by Suman Kumar Singh, Amit Kumar, Mohammed Nawas M P and ably supported by Srivalsan Ponnachath in the US and Bryan McLachlan in South Africa, iTuring.ai enables financial institutions to build, govern, and operationalize AI with a transparent, audit-ready framework. It truly empowers financial institutions to automate the full lifecycle of AI model development, deployment, and governance. The platform integrates automation for data preparation, feature engineering, model deployment, and monitoring in a unified, compliance-ready environment. With its unique blend of explainability and scalability, iTuring is helping financial organizations navigate complex regulatory landscapes while cutting down manual effort and speeding up AI deployment cycles. **Average Rating:** 3.8/5.0 **Total Reviews:** 2 **Who Is the Company Behind iTuring.ai?** - **Seller:** [iTuring.ai (Formerly known as CyborgIntell)](https://www.g2.com/sellers/ituring-ai-formerly-known-as-cyborgintell) - **Year Founded:** 2018 - **HQ Location:** Bengaluru South, IN - **LinkedIn® Page:** https://www.linkedin.com/company/cyborgintell (40 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 50% Mid-Market, 50% Small-Business #### What Are iTuring.ai's Pros and Cons? **Pros:** - Ease of Use (1 reviews) - Implementation Ease (1 reviews) - Machine Learning (1 reviews) **Cons:** - Missing Features (1 reviews) ### 6. [Kleene](https://www.g2.com/products/kleene/reviews) Kleene.ai unifies your business data in one place to power real-time reporting, analytics, and AI-driven decisions. Go live in weeks, not months — without building a data team. Kleene.ai gives mid-market and enterprise businesses a single, intelligent platform to understand what drives growth. It connects to 200+ data sources — from CRMs and ERPs to marketing and finance tools — and automatically cleans, combines, and models your data for reporting, analytics, and forecasting. At the core of the platform is KAI: an AI-powered analytics layer that surfaces insights across your business, and a conversational AI assistant that lets teams query their data in plain language — no SQL, no analysts, no waiting. Whether you're investigating churn, margins, or customer lifetime value, KAI puts answers directly in the hands of the people who need them. Kleene.ai is built for organizations that want to make faster, data-driven decisions without the complexity of managing disparate tools or large engineering teams. Every implementation is tailored to your existing data environment — with transparent pricing and a clear path to value. Why Kleene: 1️⃣ Fast to implement — adapts to any data architecture and goes live in weeks, not months. 2️⃣ No engineering overhead — a fully managed platform that eliminates the need for a large data team, cutting infrastructure costs by up to 80%. 3️⃣ AI-powered from day one — KAI's analytics layer and LLM assistant turn complex data into clear, actionable answers across finance, marketing, and operations. 4️⃣ Tailored to your business — every setup aligns with your existing environment and goals, backed by transparent pricing and hands-on support. Kleene.ai replaces the fragmented, manual approach to data with a single platform that thinks alongside your team. The result: faster insights, sharper decisions, and measurable business impact. **Average Rating:** 4.6/5.0 **Total Reviews:** 28 **How Do G2 Users Rate Kleene?** - **Has the product been a good partner in doing business?:** 9.7/10 (Category avg: 9.0/10) **Who Is the Company Behind Kleene?** - **Seller:** [kleene.ai](https://www.g2.com/sellers/kleene-ai) - **Company Website:** https://kleene.ai/ - **Year Founded:** 2017 - **HQ Location:** London, London - **Twitter:** @Kleene_ai (34 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/kleeneai/ (35 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 54% Mid-Market, 32% Small-Business #### What Are Kleene's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Automation (2 reviews) - Business Value (2 reviews) - Cost-Effective (2 reviews) - Customer Support (2 reviews) ### 7. [LexisNexis Predictive Modeling](https://www.g2.com/products/lexisnexis-predictive-modeling/reviews) Custom and insurance industry-specific predictive model development and implementation **Average Rating:** 3.5/5.0 **Total Reviews:** 1 **Who Is the Company Behind LexisNexis Predictive Modeling?** - **Seller:** [LexisNexis](https://www.g2.com/sellers/lexisnexis) - **Year Founded:** 1970 - **HQ Location:** New York - **Twitter:** @NexisSolutions (1,260 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/lexisnexis/ (9,642 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market ### 8. [LityxIQ](https://www.g2.com/products/lityxiq/reviews) LityxIQ delivers simplified AI for your entire team, empowering your enterprise to rapidly achieve true decision intelligence in a no-code platform. LityxIQ combines the power of automated machine learning with mathematical optimization. Built by data scientists, LityxIQ helps organizations of any size overcome resource constraints, while making your analysts and data science teams more efficient. LityxIQ stands apart from the competition by including a powerful blend of capabilities that cover the full analytics spectrum. Easy to implement and surprisingly affordable, cloud-based LityxIQ works seamlessly with the tools you already have, integrating easily with other systems, source data platforms, data lakes and data warehouses, as well as the leading visualization tools, such as Tableau and PowerBI. Services are offered on a subscription basis with license periods ranging from three months to multiple years. Our expert data science support gets you started and keeps you going with our dedicated Customer Success approach. Learn more and schedule a demo today at www.lityx.com **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate LityxIQ?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) **Who Is the Company Behind LityxIQ?** - **Seller:** [Lityx](https://www.g2.com/sellers/lityx) - **Year Founded:** 2006 - **HQ Location:** Wilmington, US - **Twitter:** @LityxIQ (1,752 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/lityx-llc/ (9 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business ### 9. [MindsDB](https://www.g2.com/products/mindsdb/reviews) MindsDB is an AI data solution that enables humans, AI, agents, and applications to query data in natural language and SQL, and get highly accurate answers across disparate data sources and types. MindsDB connects to diverse data sources and applications, and unifies petabyte-scale structured and unstructured data. Powered by an industry-first cognitive engine that can operate anywhere (on-prem, VPC, serverless), it empowers both humans and AI with highly informed decision-making capabilities. MindsDB has two AI solutions, the Minds Enterprise and MindsDB Open Source. Our Value Pillars: - Connect to a wide range of data sources and applications using a single interface and language using the Federated query engine. - MindsDB's Knowledge Base unifies and makes sense of structured and unstructured data. - Minds "Cognition" understands, plans, finds, and retrieves the best data to respond to questions while offering full transparency of their thoughts and user actions to IT/operators. Making Enterprise Data Intelligent and Responsive for AI. **Average Rating:** 3.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate MindsDB?** - **Algorithms:** 6.7/10 (Category avg: 8.5/10) **Who Is the Company Behind MindsDB?** - **Seller:** [MindsDB](https://www.g2.com/sellers/mindsdb) - **Year Founded:** 2017 - **HQ Location:** Berkeley, US - **Twitter:** @MindsDB (77,814 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/mindsdb/ (47 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market #### What Are MindsDB's Pros and Cons? **Pros:** - Coding Ease (1 reviews) - Ease of Use (1 reviews) - Machine Learning (1 reviews) - Powerful (1 reviews) - Predictive Modeling (1 reviews) **Cons:** - Learning Curve (1 reviews) - Limited Customization (1 reviews) - Required Knowledge (1 reviews) ### 10. [nwo.ai](https://www.g2.com/products/nwo-ai/reviews) NWO.ai is a leading consumer intelligence platform that is revolutionizing the future of external data for enterprises. Using its proprietary artificial intelligence technology, NWO.ai is able to anticipate major changes in micro-trends, before they occur, providing companies with the critical insights needed to compete in today’s ever-changing ecosystem. As organizations and enterprises continue to rely on data as part of their growth strategies, NWO.ai delivers data intelligence, culled from the most diverse data sources, that tackles major questions including the "who, what, when, and why now" for global businesses. With access to more than 93 million signals at a given moment, NWO.ai is helping businesses to remain at the forefront of their industry. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate nwo.ai?** - **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 nwo.ai?** - **Seller:** [nwo.ai](https://www.g2.com/sellers/nwo-ai) - **HQ Location:** New York, US - **LinkedIn® Page:** http://www.linkedin.com/company/ctrl-global (4 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise ### 11. [Persanalytix](https://www.g2.com/products/persanalytix/reviews) Persanalytix is a predictive analytics platform that provides consumer behavior insights to drive revenue and customer acquisition. **Average Rating:** 3.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Persanalytix?** - **Algorithms:** 5.0/10 (Category avg: 8.5/10) **Who Is the Company Behind Persanalytix?** - **Seller:** [Arjuna Solutions](https://www.g2.com/sellers/arjuna-solutions) - **Year Founded:** 2012 - **HQ Location:** Washington, US - **LinkedIn® Page:** https://www.linkedin.com/company/arjuna-solutions-llc/ (8 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business ### 12. [Pointee](https://www.g2.com/products/pointee/reviews) Intelligent automation management platforms (IAMPs) make automation efficient, transparent and observable by both business and IT. Pointee is the go-to platform for enterprise RPA automation teams that can't afford expensive mistakes. Free your CoE teams from the endless cycle of maintenance – save time, avoid headaches and let your skilled dev team focus on what they do best. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Pointee?** - **AI Text Summarization:** 0.0/10 (Category avg: 8.1/10) - **Algorithms:** 8.3/10 (Category avg: 8.5/10) - **AI Text Generation:** 0.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Pointee?** - **Seller:** [Pointee](https://www.g2.com/sellers/pointee) - **Year Founded:** 2020 - **HQ Location:** Prague 1, CZ - **LinkedIn® Page:** https://www.linkedin.com/company/pointeeinteractive (19 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Pointee's Pros and Cons? **Pros:** - Automation (1 reviews) - Efficiency (1 reviews) - Implementation Ease (1 reviews) - Time Management (1 reviews) **Cons:** - Tool Limitations (1 reviews) ### 13. [Pragyaa.ai](https://www.g2.com/products/pragyaa-ai/reviews) SmartConnect: Use the power of Conversational Voice AI to enhance customer experience and optimise voice operations. Highly customisable for multiple use cases SmartConnect can handle 70-80% of generic Voice calls and generic queries, while still have an option for complex queries and high value calls to be routed to experts. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Pragyaa.ai?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **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 Pragyaa.ai?** - **Seller:** [Pragyaa](https://www.g2.com/sellers/pragyaa) - **Year Founded:** 2016 - **HQ Location:** New Delhi, IN - **LinkedIn® Page:** https://www.linkedin.com/company/pragyaa-ai/ (4 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business ### 14. [PredictionBuilder](https://www.g2.com/products/predictionbuilder/reviews) PredictionBuilder is a library for machine learning that builds predictions using a linear regression. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate PredictionBuilder?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **Algorithms:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind PredictionBuilder?** - **Seller:** [PredictionBuilder](https://www.g2.com/sellers/predictionbuilder) - **HQ Location:** San Francisco, CA - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 200% Small-Business ### 15. [Proficy CSense](https://www.g2.com/products/proficy-csense/reviews) Proficy CSense is industrial analytics and process optimization software that enables engineers and data analysts to analyze operations data, develop predictive models, and apply advanced analytics to improve production outcomes. Designed for process and production engineers, Proficy CSense helps uncover process inefficiencies, detect equipment issues earlier, and optimize operational performance by applying data science techniques to time-series data from historians, control systems, and other industrial sources. The software supports both guided and advanced analytics workflows, making it accessible to users with varying levels of data science expertise. Typical use cases include root cause analysis, soft sensor development, predictive maintenance, and control loop performance improvement. CSense is frequently used in process industries such as chemicals, food and beverage, and pulp and paper, where process variability can significantly impact quality, efficiency, and asset health. Key capabilities include: • Data wrangling and cleansing tools to prepare industrial data for analysis • Built-in machine learning and statistical modeling to identify trends and predict outcomes • Model deployment capabilities for integration with control and monitoring systems • Diagnostics and visualization tools for exploring relationships and process behavior • Drag-and-drop development environment that accelerates analytics use without requiring code Proficy CSense enables teams to build, validate, and operationalize models that can be monitored continuously and applied across plants or systems. The software supports deployment on-premise or in the cloud, providing flexibility to align with existing IT infrastructure and data strategies. By embedding analytics into production workflows, organizations can reduce process variability, enhance quality, and increase efficiency through data-driven decision-making. **Average Rating:** 4.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Proficy CSense?** - **Seller:** [GE Vernova](https://www.g2.com/sellers/ge-vernova) - **HQ Location:** Cambridge, MA - **LinkedIn® Page:** https://www.linkedin.com/showcase/gevernova-power-software/ (1 employees on LinkedIn®) - **Ownership:** NYSE:GEV **Who Uses This Product?** - **Company Size:** 100% Enterprise #### What Are Proficy CSense's Pros and Cons? **Pros:** - AI Capabilities (1 reviews) - AI Technology (1 reviews) - Analytics (1 reviews) - Data Analysis (1 reviews) - Data Management (1 reviews) **Cons:** - Complex Usability (1 reviews) - Outdated Interface (1 reviews) - Poor Interface Design (1 reviews) - Poor Visual Quality (1 reviews) ### 16. [ProQuo AI](https://www.g2.com/products/proquo-ai/reviews) ProQuo AI is an AI-powered brand management platform where marketers can generate their brand strategy, test creative assets and monitor brand performance – all in real-time. ProQuo interacts with consumers daily and measures how they really feel about your brand, competitors and category. ProQuo’s AI analyzes data from every one of these interactions, generating a customized action plan that ensures you achieve your brand’s goal - whether it’s converting non-users, finding your whitespace or growing market share. Hundreds of brands including Clorox, Harry’s, Expedia, Tatcha and Keurig Dr Pepper are using ProQuo to grow with certainty. **Average Rating:** 4.6/5.0 **Total Reviews:** 10 **How Do G2 Users Rate ProQuo AI?** - **Has the product been a good partner in doing business?:** 9.4/10 (Category avg: 9.0/10) **Who Is the Company Behind ProQuo AI?** - **Seller:** [ProQuo AI](https://www.g2.com/sellers/proquo-ai) - **Year Founded:** 2012 - **HQ Location:** Hammersmith, GB - **Twitter:** @TCS_iON (7,498 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/proquoai/ (27 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 36% Small-Business, 36% Enterprise ### 17. [Pulsate Predict](https://www.g2.com/products/pulsate-predict/reviews) Pulsate Predict enables marketers to uncover insights on the next move of their customers. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Pulsate Predict?** - **Algorithms:** 8.3/10 (Category avg: 8.5/10) **Who Is the Company Behind Pulsate Predict?** - **Seller:** [Pulsate](https://www.g2.com/sellers/pulsate-074d5dc7-92b0-41c9-b346-242bbd45a16b) - **Year Founded:** 2016 - **HQ Location:** Madison, US - **LinkedIn® Page:** https://www.linkedin.com/company/pulsate/ (32 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise ### 18. [QuData](https://www.g2.com/products/qudata/reviews) QuData's core areas of competency are Conversational AI (speech recognition, dialogue systems, voice assistants); natural language understanding; image analysis (image classification and segmentation, object/face detection); customer behaviour analysis. The company's team of programmers and data scientists successfully implemented a number of projects for its business partners. Qudata's researchers also work on innovative approaches to artificial general intelligence. **Average Rating:** 4.8/5.0 **Total Reviews:** 4 **How Do G2 Users Rate QuData?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) **Who Is the Company Behind QuData?** - **Seller:** [Qudata](https://www.g2.com/sellers/qudata) - **Year Founded:** 2018 - **HQ Location:** Dnipro, UA - **LinkedIn® Page:** https://www.linkedin.com/company/qudata-ai/ (11 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 75% Mid-Market, 25% Small-Business ### 19. [Rayven](https://www.g2.com/products/rayven/reviews) Rayven designs and delivers the operational systems industrial and asset-intensive businesses rely on day-to-day. We take messy, siloed operational data from systems, OT, IoT, files, and spreadsheets and turn it into automation and made-to-fit operational applications - all running in one place. Rayven connects what you already have without rip-and-replace, so teams always work with current, usable information across sites, assets, and processes. On top of this foundation, we deliver real-time visibility, automated workflows, and complete operational solutions that actually work in industrial environments. Everything is delivered end-to-end, including the underlying technology. We work directly with customers and via partners through white-label and co-branded solutions. Based in ANZ, working globally. **Average Rating:** 4.9/5.0 **Total Reviews:** 29 **Who Is the Company Behind Rayven?** - **Seller:** [Rayven](https://www.g2.com/sellers/rayven) - **Year Founded:** 2016 - **HQ Location:** Sydney, AU - **Twitter:** @RayvenIOT (56 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/rayveniot/ (29 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Retail - **Company Size:** 67% Mid-Market, 50% Small-Business #### What Are Rayven's Pros and Cons? **Pros:** - Ease of Use (61 reviews) - Features (49 reviews) - Automation (44 reviews) - Customization (42 reviews) - Data Management (36 reviews) **Cons:** - Learning Curve (32 reviews) - Difficult Learning (30 reviews) - Learning Difficulty (25 reviews) - Complex Setup (21 reviews) - Setup Complexity (19 reviews) ### 20. [Repredict](https://www.g2.com/products/repredict/reviews) QuickPredict is the all-in-one productivity app built for everyday entrepreneurs—salon owners, contractors, real estate agents, and service businesses. Replace your scattered spreadsheets, expensive CRM, and separate chat apps with one simple platform. Key features: Deal management with custom fields, visual revenue dashboards, built-in team messaging, shareable file cabinets per deal, and instant what-if predictions that turn hours of spreadsheet work into 15-second answers. Start with pre-built templates for your industry, customize as you grow, and stay in control without needing a manual. One app. One price. No surprises. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **Who Is the Company Behind Repredict?** - **Seller:** [Repredict Corporation](https://www.g2.com/sellers/repredict-corporation) - **Year Founded:** 2024 - **HQ Location:** South Salem, US - **LinkedIn® Page:** https://www.linkedin.com/company/repredict (4 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Small-Business #### What Are Repredict's Pros and Cons? **Pros:** - Customization (1 reviews) - Ease of Use (1 reviews) ### 21. [SEER Cost Analysis Platform](https://www.g2.com/products/seer-cost-analysis-platform/reviews) SEER by Galorath is a cost analysis platform for making confident decisions faster. Our clients quickly identify cost-saving and profit-growth opportunities. We help organizations view, analyze, and optimize agile and traditional project costs, schedules, and risk scenarios with real-world outcomes. Forward-thinking organizations like Boeing, NASA, Airbus, Raytheon Technologies, Ford, the US Armed Forces, Lockheed Martin, and Accenture rely on SEER to view, analyze, and optimize their costs, making the uncertain - certain. • Arrive at decisions 5 X’s Faster. Reliable Results in hours, not days or months. • Go to Market 33% faster than the competition. • $36 Mil in delivered cost savings in the past 6 months. • Maximize profitability & cost savings. • Analyze and optimize cost drivers in these unprecedented times. Our products and services give complete insight into the implications of a significant technical or financial decision, allowing organizations to execute a plan with assurance and reach their goals with absolute certainty. **Average Rating:** 5.0/5.0 **Total Reviews:** 4 **How Do G2 Users Rate SEER Cost Analysis Platform?** - **Has the product been a good partner in doing business?:** 10.0/10 (Category avg: 9.0/10) - **AI Text Summarization:** 8.3/10 (Category avg: 8.1/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind SEER Cost Analysis Platform?** - **Seller:** [Galorath Inc](https://www.g2.com/sellers/galorath-inc) - **Year Founded:** 1986 - **HQ Location:** Long Beach, US - **Twitter:** @galorath (303 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/galorath-incorporated/ (64 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise ### 22. [Seery](https://www.g2.com/products/seery/reviews) Seery is the app you don't want to miss! Seery uses complex and project-proven AI/Machine Learning methods for the accurate sales forecast. With Seery, you can track the most important KPIs like Avg Order Value, Average Revenue per User, Average No of Orders, and many more. Using Seery you can understand repeat customers, churn rate, Customer Lifetime Value, or use powerful Cohort Analysis with filters per customer segments. Powerful Dashboard showing key information in one place. Shopify ready. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Seery?** - **AI Text Summarization:** 10.0/10 (Category avg: 8.1/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) - **AI Text Generation:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Seery?** - **Seller:** [Qualia Data Sciences LTD](https://www.g2.com/sellers/qualia-data-sciences-ltd) - **Year Founded:** 2010 - **HQ Location:** Killarney, IE - **Twitter:** @qualiahr (503 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/qualia-d-o-o- (5 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise ### 23. [Splunk IT Service Intelligence‎ (ITSI)](https://www.g2.com/products/splunk-it-service-intelligence-itsi/reviews) Splunk IT Service Intelligence (ITSI) is an AIOps and event management solution that correlates and applies machine learning to all data for real-time, predictive performance monitoring and integrated IT management workflows. This enables teams to prevent incidents before they impact the business, and detect, respond and resolve incidents all from one place. **Average Rating:** 4.9/5.0 **Total Reviews:** 5 **How Do G2 Users Rate Splunk IT Service Intelligence‎ (ITSI)?** - **Has the product been a good partner in doing business?:** 6.7/10 (Category avg: 9.0/10) **Who Is the Company Behind Splunk IT Service Intelligence‎ (ITSI)?** - **Seller:** [Cisco](https://www.g2.com/sellers/cisco) - **Year Founded:** 1984 - **HQ Location:** San Jose, CA - **Twitter:** @Cisco (721,419 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/cisco/ (95,742 employees on LinkedIn®) - **Ownership:** NASDAQ:CSCO **Who Uses This Product?** - **Company Size:** 80% Enterprise, 20% Small-Business ### 24. [Trayo AI](https://www.g2.com/products/trayo-ai/reviews) Trayo is signal infrastructure for revenue teams. It pulls in buying signals from across the web, social, proprietary data, and other systems, and tells reps what actually matters and what to do about it. Most signal tools stop at delivery. They flood your team with alerts and leave it to reps to figure out which ones are worth acting on. Trayo works differently. It runs every signal through a reasoning layer that evaluates how important the signal is, analyzes what it means for the account, and recommends a specific next step. So instead of more noise, reps get a clear action they can take right now. Trayo is built for sales-led companies where reps are managing a lot of accounts and can't afford to miss the moments that move deals forward. If your team is drowning in data but still missing the signals that matter, that's the problem Trayo solves. **Average Rating:** 5.0/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Trayo AI?** - **AI Text Summarization:** 10.0/10 (Category avg: 8.1/10) - **AI Text Generation:** 10.0/10 (Category avg: 8.1/10) **Who Is the Company Behind Trayo AI?** - **Seller:** [Trayo](https://www.g2.com/sellers/trayo) - **Year Founded:** 2025 - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/trayoai/ (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Enterprise ### 25. [Unscrambler](https://www.g2.com/products/unscrambler/reviews) Unscrambler is the industry leading tool for modeling, prediction and optimisation using powerful analytics, interactive graphics and visualisations for developing products faster, improve product quality and optimise processes. **Average Rating:** 4.5/5.0 **Total Reviews:** 1 **How Do G2 Users Rate Unscrambler?** - **AI Text Summarization:** 10.0/10 (Category avg: 8.1/10) - **Algorithms:** 10.0/10 (Category avg: 8.5/10) - **AI Text Generation:** 8.3/10 (Category avg: 8.1/10) **Who Is the Company Behind Unscrambler?** - **Seller:** [CAMO Software](https://www.g2.com/sellers/camo-software) - **HQ Location:** N/A - **LinkedIn® Page:** https://www.linkedin.com/company/No-Linkedin-Presence-Added-Intentionally-By-DataOps (1 employees on LinkedIn®) **Who Uses This Product?** - **Company Size:** 100% Mid-Market ## What 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.