// Outcomes
Selected engagements with enterprise retail and consumer brands across more than 40 countries, 10,000+ stores and 20,000+ users.
Snowflake and Microsoft highlight a critical AI challenge: models achieve only 24% accuracy without business context. The real news of 2026 isn't a new AI model, but the urgent need for a semantic layer to give AI meaningful data.
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Discover why Star Schema data modeling is considered 'common sense' for organizing data. Learn how it simplifies reporting, speeds up insights, improves data quality, and provides a solid foundation for AI and analytics.
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Discover how Rapida Solutions helped a leading APAC QSR brand build a Hybrid CDP on Snowflake using the RACE AI Customer Engine and Braze, delivering award-winning customer intelligence, advanced segmentation, churn prediction and personalised customer engagement without the cost and complexity of a
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How we re-platformed a QSR brand's entire data estate from Redshift to Snowflake in 90 days — with zero reporting downtime.
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How a leading QSR brand replaced 300+ daily CSV files with a unified semantic layer, enabling faster insights, self-service analytics, and scalable reporting.
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In the fast-paced world of QSR, churn prediction has moved from nice-to-have to operational essential. Here's how to do it well.
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RACE applied six proprietary algorithms to a QSR brand's customer data — and delivered 10% incremental sales growth.
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1,000+ stores. 300+ legacy extracts. Two months. Here's how we migrated to a global platform and trained 52+ people along the way.
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