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Data Warehouse

The Data Warehouse provides player and event-level granularity of the data collected from devices. Data Warehouse is designed to provide a better understanding of your players and events, hence providing a more detailed look into specific aspects of your game - such as progression through levels, player behaviour and segmentation, or game economy.

Using the Data Warehouse removes the need for setting up your own SDK, processing pipeline, storage and data warehouse solution. It saves months of development time & enables your team to focus on developing differentiating capabilities that increase competitiveness.

Data Warehouse Use Cases​

  • Analyze player and event level data using SQL queries.
  • Obtain a device-level ROI figure by combining revenue data from Data Warehouse with estimated CPI from attribution or ad campaigns.
  • Validating revenue data with other data sources using player level data.
  • Use Event-level tables to analyze patterns in user interaction, such as identifying connections between specific events and ad views or IAP conversions.
  • Use the data from Data Warehouse to train machine learning models.
  • Identify users playing multiple games across your studio/organization.