About Client:
The client is a leading global gaming company, operating a portfolio of blockbuster titles with millions of active players around the world.
Background:
As the gaming company expanded its portfolio and player base, its legacy on-prem data systems started showing cracks. Data from marketing, finance, sales, and in-game telemetry lived in separate silos, stitched together by fragile ETL processes that often broke. Reports were slow, inconsistent, and rarely told the full story.
This meant teams couldn’t see the complete player journey of how a campaign drove engagement, how features influenced in-game spending, or how player behavior shifted in real time. Instead, they relied on static, outdated reports limiting the company’s ability to innovate at the speed of the gaming industry.
Challenge:
The cracks in the legacy on-premise system became clear:
- Data Silos: Disparate systems made it impossible to get a holistic view of the business.
- Unreliable ETL: Manual data pipelines frequently broke, delaying insights.
- No Real-time Analytics: Teams couldn’t respond quickly to player behavior or campaign performance.
- Scalability Issues: The infrastructure struggled under the weight of millions of daily active users.
- High Costs: Maintaining outdated systems demands time, effort, and specialized skills.
