Case Study: Rogers Communications achieves modernized revenue assurance with Databricks

How the Lakehouse Empowered Rogers Communications to Modernize Revenue Assurance

Rogers Communications needed to modernize Revenue Assurance because its legacy on-premises data warehouses couldn’t keep up with growing data volumes, multiple data sources, and the need for faster billing accuracy, revenue leakage prevention, and predictive analytics. The team also lacked an easy way to share insights across the business, and much of its time was spent collecting and preparing data instead of analyzing it. Rogers chose the Databricks Data Intelligence Platform on Azure to support this transformation.

Databricks helped Rogers build a centralized Revenue Assurance Data Lake in Azure, migrate Hadoop and Oracle pipelines, add encryption for PII, and create BI dashboards and ML workflows at scale. With Databricks, Rogers improved collaboration, enabled real-time insights, increased forecasting accuracy, and put data use cases into production faster. The company also gained better visibility into cost versus performance and strengthened its ability to analyze and predict roaming revenue trends for more accurate billing and financial planning.

Rogers Communications

Duane Robinson

Sr. Manager of Data Science