Case Study: Apparel Retailing Company achieves cost-efficient, scalable EDW and faster analytics with Happiest Minds

Apparel Retailing Company - Customer Case Study

Happiest Minds is a digital transformation and engineering services firm that helps enterprises modernize analytics platforms. Customers faced common EDW pain points — rising hardware and storage costs, monolithic systems that struggle to scale or handle unstructured and real‑time data, and limited self‑service capabilities for business users.

Happiest Minds delivers a Hadoop‑optimized EDW, data lake and streaming analytics approach: a 6‑week discovery and prototyping phase followed by migration, validation, refactor and cut‑over, with tool/vendor evaluations and governance. By offloading storage/compute and batch/reporting workloads to Hadoop and building real‑time pipelines (Hortonworks/Cloudera, Kafka, Spark, Storm etc.), clients achieved reduced EDW spend, faster ELT and analytics, scalable real‑time processing (examples at 100k msgs/sec), improved self‑service reporting and measurable business impact such as reduced churn and better customer experience.