Thoughtspot Retail Analytics AI citations

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