“Databricks has been a fresh start for ANA Seguros, helping us move faster, work more efficiently and become a more data-driven company.” - Rubén Berbena, Data Manager, ANA Seguros
As demand for data grew across pricing, sales, operations and leadership, ANA Seguros’ traditional BI model became difficult to scale. Static dashboards, manual Excel analysis and reliance on specialized developers slowed access to answers. With Databricks AI/BI and Genie One, analysts can build their own data products while business leaders ask follow-up questions conversationally.
Key highlights:
- 50%+ lower annual platform costs: Annual Databricks spending is less than half the company’s previous SAS platform costs.
- Daily instead of weekly: Vehicle pricing data is now refreshed daily, replacing a weekly process.
- From two hours to minutes: Updating the vehicle catalog now takes only a few minutes.
- Four hours to approximately 12 minutes: Replicating the data warehouse into the Databricks lakehouse became dramatically faster.
- Self-service analytics: Analysts can work closer to the source of truth and develop their own dashboards using Python and PySpark.
- Conversational executive insights: Leaders can use Genie One, Microsoft Teams and specialized Genie Agents to ask questions about company performance.
🔗 Check out the full story 👈
