Case Study: a leading global retail chain achieves faster, deeper analytics with Kyvos Insights

a leading global retail chain analyzes 24B records in under 5 seconds with Kyvos Insights

A leading global retail chain faced significant challenges with its analytics environment on Azure and Databricks. The system had severe performance bottlenecks, scalability issues that limited analysis to only a few months, and a heavy reliance on engineers to write complex code. This resulted in slow BI queries in Tableau and prevented business users from conducting granular, self-service data exploration. They turned to Kyvos Insights for a solution.

Kyvos implemented its semantic layer to enable instant ad hoc analysis on billions of transactions. The solution provided a unified business view, extended historical analysis from months to three years of data, and delivered query responses in under five seconds. The measurable impact for the retail chain included the analysis of 24 billion records across 38 fiscal periods and holistic reporting across 40 million customers, all while seamlessly integrating with their existing Azure, Databricks, and Tableau stack.