Case Study: Leading US-based Grocery Chain achieves interactive, 100x-faster customer analytics with Kyvos Insights

Retail Chain Transforms Customer Experiences with BI Acceleration

Leading US-based Grocery Chain faced an urgent need to turn massive, multi-year transaction and customer-profile data into timely, actionable insights. Their complex Tableau dashboards (35 worksheets, 20 cascading filters, 100+ calculated measures) and BI queries against Cloudera/Impala were timing out on joins with billion‑cardinality tables as they prepared to migrate to Azure, so they evaluated cloud BI acceleration options and selected Kyvos Insights as their BI acceleration platform.

Kyvos Insights implemented a universal semantic layer and Smart OLAP™ on Azure, pre-aggregating two years of historical data with Azure Databricks and ADLS and exposing the models to Tableau and MicroStrategy for self-service analysis. The deployment delivered measurable gains — ~100x faster performance than Impala and two‑second query responses on 12 billion rows with a billion distinct count — enabling interactive, YoY analytics, personalized store assortments, better forecasting, and partner-facing analytics.