"The barriers to data-driven decisions are coming down fast. Our people just need a business question they want to answer, and increasingly they can answer it themselves."
- Juan Jose Casado, Chief Digital Officer, Repsol
Repsol, a global multi-energy company, is expanding self-service analytics and AI on the Databricks Platform with Genie and Genie Code. By giving business users a conversational way to ask questions and build governed models, Repsol is helping more teams work directly with data instead of waiting in technical queues.
Key highlights:
- 2,000+ platform users eligible for self-service questions: Repsol sees thousands of Databricks users as candidates for self-service analytics through Genie.
- 80% of ad hoc reports were rarely reused: Most one-off questions did not belong in permanent dashboards, creating a strong case for conversational, self-service analytics.
- 4,000+ hours per year potentially saved: Repsol estimates major annual time savings as Genie Code helps replace manual model-building workflows.
- Plain-language access to governed answers: Genie One is designed to give business users instant, context-aware answers grounded in company data, with built-in governance through Unity Catalog.
- Conversational model building for data teams: Genie Code is built for data teams to analyze data, engineer features, train and evaluate models, and support data and ML workflows through natural conversation.
- Governed foundation for scale: Unity Catalog provides unified governance for data and AI assets, helping teams discover trusted data while maintaining centralized controls.
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