A global entertainment and media leader with billions in annual revenue engaged Akraya to transform their data engineering capabilities by creating robust infrastructure to process, transform, and deliver insights at scale.
Challenges Faced
This section outlines the core difficulties and pain points the client was experiencing. It provides context on the hurdles that needed to be overcome before achieving the successful outcome.
Fragmented Data Infrastructure Limiting Insights
Multiple business units operated in silos with inconsistent data definitions and processing methodologies.
Scalability Constraints in Legacy Pipelines
Existing data infrastructure couldn't keep pace with exploding data volumes from streaming and digital platforms.
Manual Transformation Overhead
Data engineers manually built and maintained transformation logic, creating bottlenecks in insight delivery and consuming valuable engineering resources.
Akraya’s Strategic Solution
We engineered a comprehensive data infrastructure solution to power enterprise analytics -
Akraya designed and implemented automated data pipelines capable of processing massive volumes from streaming, content, and consumer analytics sources.
Empowered business intelligence teams with transformed, ready-to-use data assets.
Measurable Outcomes
Operational
100+ manual processes were automated ensuring no manual reporting across all critical business indicators.
Financial
$16.8M Annual engineering productivity was reclaimed by automating manual pipeline work.
Business
Data-Driven decision velocity got accelerated with consistent and trusted insights.
Conclusion
Akraya transformed fragmented data infrastructure into a unified, scalable analytics engine for a global entertainment leader. By automating manual pipelines, harmonizing definitions across business units, and enabling self-service consumption, we accelerated time-to-insight while reclaiming millions in engineering productivity.
