Case Study: Large Media and Entertainment Company achieves Hadoop-optimized EDW and scalable real-time analytics with Happiest Minds

Large Media and Entertainment Company - Customer Case Study

Happiest Minds is a next‑generation digital transformation and engineering services firm (founded 2011, 2,400+ people, global footprint) that helps enterprises modernize analytics platforms. Many customers were facing common EDW pain points: rising appliance costs, monolithic architectures that don’t scale or handle unstructured and real‑time data, and lack of self‑service BI for business users — driving the need for a Hadoop‑optimized EDW, data lakes and streaming analytics.

Happiest Minds addressed this with a pragmatic program of discovery, architecture and phased migration: data‑lake strategy and prototyping, EDW optimization (ELT offload, governance, self‑service BI) and real‑time stream analytics. Deliverables included a six‑week discovery, reference architectures, tool evaluations, governance models and working prototypes. Results across retail, media and education clients included reduced EDW storage spend, faster ELT/reporting, scalable real‑time ingestion (100k+ msgs/sec in some cases), improved analytics and operational dashboards, and measurable business impact such as reduced churn and increased revenue.