iGaming Data Warehouse for Analytics & AI — event-level player data and metric layer

The iGaming Data Warehouse is a managed cloud lakehouse that brings casino and sportsbook data into one store for analysis and model building. It is aimed at iGaming operators who need event-level player history for analytics, historical comparisons and predictive model development.

Ingestion, storage and metrics

Data can be ingested through APIs, secure files, Kafka and cloud streams. The warehouse keeps granular event-level history, so player analysis and historical comparisons can run against raw events rather than pre-aggregated summaries. The metric layer supports Formula, Composite and Routine Metrics for reusable logic, and authorised read-only Custom Query Metrics can extend it with operator-specific KPIs.

Search data and hosting

A Google Search Console bulk export can be added to the analysis, bringing in search impressions, clicks, queries, landing pages, countries and devices. The service is hosted on Google Cloud, with logical separation between clients. Group permissions control platform roles, datasets and the maximum historical query window available to each user group.

Pricing

Autonomous Agent is included in standard Business Intelligence pricing. Predictive Models are priced separately from the data warehouse.

Operators building player-level models on years of event history get a single cloud store with access limits set by group permissions. Teams that also track organic search can join Search Console data to the same warehouse.