Built a Robust Foundational Data & Reporting Platform for a Leading OTT Solutions Provider

Designed and built a multi-tenant, scalable foundational data model (FDM) to provide analytics regarding advertising, subscriptions and eCommerce innovations

CHALLENGE

The client was looking for insights with the kind of data granularity that required drilled down reporting. They needed a big data pipeline for ingesting real-time data collected from their viewers globally. We built a robust platform that generates quantitative analytics reports based on customer usage patterns to provide the client with insights they need to make better, more informed decisions.

APPROACH

The player and ad events are processed using spark structured streaming in Databricks. Structured Streaming is a scalable and fault-tolerant stream processing engine. One can express the streaming computation the same way one would express a batch computation on static data. The Spark SQL engine takes care of running it incrementally and continuously and updating the result as streaming data arrives continuously.

We are delighted to have helped the client create a centralized, analytics-ready repository for their big data and look forward to helping them meet their strategic goals using our cloud capabilities.

Better understanding of the users

to help customer retention and reduce churn

Improved the lifetime value of each user

by nudging them up the revenue chain with ads and subscriptions

Enhanced user experience

by providing deeper insights for recommendation cues