Databricks
Case Studies
Revolutionizing Gaming Experience with IoT: A Case Study on Devsisters' Cookie Run
Overview
Revolutionizing Gaming Experience with IoT: A Case Study on Devsisters' Cookie RunDatabricks |
Analytics & Modeling - Machine Learning Platform as a Service (PaaS) - Application Development Platforms | |
Cement Construction & Infrastructure | |
Maintenance Warehouse & Inventory Management | |
Picking, Sorting & Positioning Time Sensitive Networking | |
Data Science Services | |
Operational Impact
The implementation of the Databricks Lakehouse Platform has significantly improved Devsisters' operational efficiency. With simplified data analysis and data warehouse management, data platform engineers can now focus on improving data platform capabilities and performance, rather than spending time on troubleshooting. The data team is innovating faster, with development time reduced by 30%. The company has also been able to leverage better data insights to create a statistical model that predicts the lifetime value derived from the entire game process. The Databricks Lakehouse provides an integrated data environment, combining the strengths of both a data lake and a data warehouse to enhance integration among indicators. This has enabled Devsisters to deliver powerful insights while providing reliable data. | |
Quantitative Benefit
30% reduction in development time, accelerating new feature releases | |
200% faster analysis of in-game activity, increasing gamer engagement | |
Ability to process and analyze more than 10TB of game player data every day | |