Case Study: Inmar achieves real-time, 300x-faster retail analytics with Kognitio

Inmar - Customer Case Study

Inmar helps retailers and suppliers turn billions of grocery transactions and rich product metadata into actionable insights, powering a customer self-service analytics portal that supports loyalty and targeting programs in a low-margin, highly competitive market. The scale of the data — billions of rows across years and many stores — made interactive, high-speed querying on their Hadoop/Hive stack impractically slow.

Inmar adopted Kognitio after benchmark queries ran ~300× faster, and Kognitio developed an ORC connector so Inmar could query their existing Hadoop data without costly conversions. Kognitio is now embedded in their Hadoop ecosystem, enabling real-time self-service queries, in-cluster R/Python scripting, and advanced modeling and clustering — capabilities that drove new intelligent targeting products, faster customer segmentation, and more actionable insights for retailers and suppliers.

Inmar