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After migrating to Azure Data Lake and Databricks, the client faced critical issues with Power BI including excessive data model size requiring higher P3/P4 subscriptions, system timeouts/crashes during data loading, incremental refresh times exceeding SLA requirements (3-6 hours vs 1-hour target), and inefficient data architecture causing performance bottlenecks.
Global customer experience (CX) company providing tech solutions and data insights for gaming and entertainment industries with operations in 95 countries
Projected 40-60% reduction in Power BI infrastructure costs through P1 subscription retention, 70% faster data refresh cycles meeting SLA requirements, 30% improvement in report generation performance, and scalable architecture supporting 200+ monthly users with 25% annual data growth. Enhanced system stability will prevent revenue loss from client service disruptions.