Case Study: Gamania achieves 1,600x faster data analytics with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the Gamania Case Study

Advancing AI capabilities for enterprises with Google Cloud

Gamania needed a faster, more unified way to collect and analyze data across its subsidiaries. Before adopting Google Cloud Platform, cross-subsidiary analytics could take more than a week to gather and process data from different environments, making it difficult for teams to quickly access reports and insights.

With Google Cloud Platform, Gamania built a centralized data lake and warehouse using services such as Dataflow, Dataproc, Cloud Storage, BigQuery, and Vertex AI. The result was dramatically improved analytics efficiency—BigQuery delivered 1.8x faster query speeds than similar offerings and helped reduce reporting time from over a week to just a few minutes, a 1,600x improvement in analytics efficiency.


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Gamania

Benjamin Chen

Chief Strategy Officer and Head of AI Innovation Lab


Google Cloud Platform

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