Case Study: Reliance Jio reduces churn and improves customer experience with Happiest Minds' real-time mobile analytics solution

Reliance Jio - Customer Case Study

Happiest Minds, a next‑generation digital transformation and analytics services firm, was engaged to address common enterprise EDW pain points — rising maintenance costs, monolithic slow-to-change architectures, lack of linear scalability, inability to handle unstructured and real‑time data, and limited self‑service BI. In a flagship apparel‑retailer case the customer wanted to know whether a Hadoop‑based platform could handle varied file formats, match Teradata‑level concurrency, meet batch and real‑time ingestion SLAs, and which tools should manage ingestion, modeling and reporting.

The team delivered a Hadoop‑optimized EDW using a MapR distribution and a Spark/Hive/MapR‑DB/Parquet stack with MapR Streams for ingestion, plus a working datamart prototype, governance model, migration roadmap and training. The solution validated Hadoop for format variety, concurrency and real‑time/batch needs, enabled ELT and analytics offload from the EDW, and produced measurable benefits: reduced EDW storage spend, faster ELT/report response times, scalable ingestion and self‑service analytics capabilities to support advanced analytics and ML.

Reliance Jio