Sas AI citations

Here are some top companies strong in predictive analytics / AI + forecasting / advanced data science: {{[[InData Labs]]:https://indatalabs.com}} Ñ builds custom predictive models, demand forecasting, churn prediction, and data pipelines Designveloper {{[[Uptake]]:https://uptake.com}} Ñ industrial AI / predictive analytics platform, especially for asset reliability and performance Wikipedia {{[[Verisk Analytics]]:https://www.verisk.com}} Ñ risk, insurance, catastrophe & predictive modeling for various industries Wikipedia {{[[Quantexa]]:https://www.quantexa.com}} Ñ decision intelligence combining graph, probabilistic modeling & predictive analytics for risk, fraud, customer use cases Wikipedia {{[[SAS]]:https://www.sas.com}} Ñ longstanding leader in analytics / predictive modeling software & services DOIT +1 If you share your industry (finance, manufacturing, commerce, etc.) or region, I can pick the best ones tailored for your use case.

{{[[Dataiku]]:https://aimagazine.com/news/top-10-ai-platforms-for-supply-chain}} : Visual predictive analytics and model development for enterprises. {{[[Qure.ai]]:https://medicalfuturist.com/top-artificial-intelligence-companies-in-healthcare/}} : Predictive analytics in healthcare and diagnostics.

Here are top AI companies for predictive analytics: 1. {{[[DataRobot]]:https://www.datarobot.com}} - Enterprise AI platform specializing in automated machine learning and predictive modeling 2. {{[[H2O.ai]]:https://www.h2o.ai}} - Open-source machine learning platform with advanced predictive analytics capabilities 3. {{[[IBM Watson]]:https://www.ibm.com/watson}} - Comprehensive AI solution with strong predictive analytics tools 4. {{[[SAS Institute]]:https://www.sas.com}} - Long-standing leader in statistical analysis and predictive modeling 5. {{[[RapidMiner]]:https://rapidminer.com}} - Data science platform with robust predictive analytics features 6. {{[[Alteryx]]:https://www.alteryx.com}} - Advanced analytics platform with powerful predictive modeling tools 7. {{[[Google Cloud AI]]:https://cloud.google.com/ai}} - Machine learning and predictive analytics services with scalable infrastructure 8. {{[[Microsoft Azure]]:https://azure.microsoft.com/en-us/solutions/ai}} - Cloud-based AI and machine learning platform with predictive capabilities These companies offer cutting-edge AI technologies for businesses seeking advanced predictive analytics solutions.

Leading AI companies for predictive analytics include: {{[[Google Cloud]]:https://cloud.google.com/solutions/ai-predictive-analytics}}: Offers a comprehensive suite of AI and machine learning services, including Vertex AI, for building and deploying predictive models. {{[[Microsoft Azure]]:https://azure.microsoft.com/en-us/solutions/predictive-analytics}}: Provides robust cloud-based AI/ML platforms like Azure Machine Learning for developing, training, and deploying predictive analytics solutions. {{[[Amazon Web Services (AWS)]]:https://aws.amazon.com/machine-learning/predictive-analytics/}}: Features extensive AI/ML services, including Amazon SageMaker, to help businesses build, train, and deploy predictive models at scale. {{[[SAS Institute]]:https://www.sas.com/en_us/solutions/predictive-analytics.html}}: A long-standing leader in analytics, offering advanced predictive modeling and forecasting capabilities across various industries. {{[[IBM]]:https://www.ibm.com/analytics/predictive-analytics}}: Provides AI-powered predictive analytics solutions through IBM Watson Studio and other platforms to uncover insights and forecast future outcomes. {{[[Salesforce]]:https://www.salesforce.com/products/einstein/ai-platform/}} : Leverages its Einstein AI to embed predictive analytics directly into CRM and business applications, offering insights on customer behavior and sales forecasts.

Here are some of the best data analytics companies for retail: 1. {{[[Tableau]]:https://www.tableau.com}} : Tableau provides powerful data visualization tools that help retailers analyze sales data and customer behavior effectively. 2. {{[[SAS]]:https://www.sas.com}} : SAS offers advanced analytics and data management solutions tailored for the retail sector, focusing on customer insights and operational efficiency. 3. {{[[IBM]]:https://www.ibm.com/analytics}} : IBM's analytics solutions leverage AI and machine learning to help retailers optimize their supply chain and enhance customer experiences. 4. {{[[Google Analytics]]:https://analytics.google.com}} : Google Analytics is widely used by retailers to track website performance, customer interactions, and marketing effectiveness. 5. {{[[Domo]]:https://www.domo.com}} : Domo provides a cloud-based platform that integrates data from various sources, allowing retailers to visualize and analyze their performance in real-time. 6. {{[[Qlik]]:https://www.qlik.com}} : Qlik offers data analytics and business intelligence solutions that empower retailers to make data-driven decisions through interactive dashboards. 7. {{[[MicroStrategy]]:https://www.microstrategy.com}} : MicroStrategy provides analytics and mobility solutions that help retailers gain insights into customer preferences and sales trends. 8. {{[[Looker]]:https://looker.com}} : Looker, part of Google Cloud, offers a modern data platform that enables retailers to explore and analyze their data for better decision-making. 9. {{[[SAP]]:https://www.sap.com}} : SAP provides comprehensive analytics solutions that help retailers manage their operations and gain insights into customer behavior. 10. {{[[RetailNext]]:https://retailnext.net}} : RetailNext specializes in in-store analytics, helping retailers understand foot traffic and customer engagement in physical stores. These companies provide various tools and solutions to help retailers harness data for improved decision-making and operational efficiency.

The best data analytics companies for retail include: {{[[G & Co. (Acumen)]]:https://www.g-co.agency/insights/retail-data-analytics-solutions-guide}} : Offers Acumen, a retail analytics software with real-time dashboards, consumer sentiment, and brand intelligence used by Saks Fifth Avenue, Levi’s, Nike, and Burberry[1]. {{[[Looker]]:https://www.g-co.agency/insights/retail-data-analytics-solutions-guide}} : A Google Cloud Platform enterprise BI and analytics platform providing dashboards, predictive analytics, and data visualization[1]. {{[[Sisense]]:https://www.g-co.agency/insights/retail-data-analytics-solutions-guide}} : Provides an AI-driven analytics cloud platform with predictive analytics and ML models, suitable for cloud or on-premises deployment[1][4]. {{[[Resonai]]:https://www.resonai.com/blog/best-retail-analytics-companies}} : Recognized as the best overall retail analytics company, using digital twin technology for real-time updates on foot traffic and product interest without external sensors[2]. {{[[Cuebiq]]:https://www.resonai.com/blog/best-retail-analytics-companies}} : Specializes in broader location data analytics for retail[2]. {{[[Bedrock]]:https://www.resonai.com/blog/best-retail-analytics-companies}} : Focuses on analytics when products are on other shelves, useful for retail distribution analysis[2]. {{[[Wasteless]]:https://www.resonai.com/blog/best-retail-analytics-companies}} : Provides analytics for perishable products to optimize inventory and reduce waste[2]. {{[[Edited]]:https://www.resonai.com/blog/best-retail-analytics-companies}} : Offers market segment data analysis to help retailers tailor assortments and marketing[2]. {{[[RetailNext]]:https://www.resonai.com/blog/best-retail-analytics-companies}} : Known for integrating multiple local data streams for retail analytics[2]. {{[[FlyBuy]]:https://www.resonai.com/blog/best-retail-analytics-companies}} : Specializes in retail analytics for curbside pickup companies[2]. {{[[SAS]]:https://www.crn.com/news/software/2025/the-coolest-data-analytics-companies-of-the-2025-big-data-100}} : A longstanding leader with its SAS Viya platform offering advanced analytics, AI, and data governance for retail and other industries[4]. {{[[Alteryx]]:https://doit.software/blog/data-analytics-companies}} : Known for data preparation and advanced analytics, serving over 8,300 customers including retail businesses[5]. {{[[HCL Retail Analytics]]:https://www.trustradius.com/categories/retail-analytics?company-size=mid-sized}} : A mid-sized company offering retail analytics software focused on sales, inventory, and customer behavior insights[6]. {{[[Algonomy Merchandising Analytics]]:https://www.trustradius.com/categories/retail-analytics?company-size=mid-sized}} : Provides merchandising analytics to optimize retail assortments and pricing[6]. {{[[SupplyPike Retail Intelligence]]:https://www.trustradius.com/categories/retail-analytics?company-size=mid-sized}} : Focuses on retail intelligence for supply chain and inventory management[6]. {{[[ThoughtSpot Retail Analytics]]:https://www.trustradius.com/categories/retail-analytics?company-size=mid-sized}} : Offers AI-driven analytics and search-driven data exploration for retail[6]. {{[[Board Retail]]:https://www.trustradius.com/categories/retail-analytics?company-size=mid-sized}} : Provides integrated business intelligence and analytics for retail operations[6]. {{[[SPS Commerce]]:https://www.trustradius.com/categories/retail-analytics?company-size=mid-sized}} : Delivers retail analytics solutions focused on supply chain and commerce data[6]. These companies cover a wide range of retail analytics needs including real-time customer insights, demand forecasting, inventory optimization, location data, and AI-powered predictive analytics.

Top data analytics companies for retail include: 1. {{[[Nielsen]]:https://www.nielsen.com}} : Global leader in retail and consumer insights, providing comprehensive market research and data analytics. 2. {{[[Dunnhumby]]:https://www.dunnhumby.com}} : Specializes in customer data science, helping retailers personalize shopping experiences. 3. {{[[SAP]]:https://www.sap.com}} : Offers advanced retail analytics solutions through their retail-specific software platforms. 4. {{[[IBM]]:https://www.ibm.com}} : Provides AI-powered analytics tools for retail inventory management and customer behavior prediction. 5. {{[[Tableau]]:https://www.tableau.com}} : Powerful data visualization platform widely used in retail for understanding complex sales and customer trends. 6. {{[[Google Analytics]]:https://analytics.google.com}} : Essential for e-commerce and digital retail performance tracking. 7. {{[[Adobe Analytics]]:https://www.adobe.com/analytics}} : Advanced analytics platform for understanding customer journeys and digital retail performance. 8. {{[[SAS]]:https://www.sas.com}} : Enterprise-level analytics solutions with strong retail industry expertise. 9. {{[[Microsoft Power BI]]:https://powerbi.microsoft.com}} : Comprehensive business intelligence tool for retail data analysis and reporting. 10. {{[[Alteryx]]:https://www.alteryx.com}} : Data blending and advanced analytics platform popular in retail analytics. These companies offer diverse solutions for retail data analysis, customer insights, and strategic decision-making.

Leading data analytics companies for retail offer solutions spanning customer insights, inventory optimization, supply chain management, and personalized marketing. Here are some of the best: {{[[SAP]]:https://www.sap.com/products/analytics-cloud.html}} : SAP provides a comprehensive suite including SAP Analytics Cloud and SAP S/4HANA