A global top 10 insurance company had started building a modern data lakehouse to enable faster delivery of use cases and business self-service, but the expected business outcomes still weren’t materializing. Valuable data remained scattered across cloud and on-premises systems, including the lakehouse, and analysts were still spending time manually reconciling data – sometimes pulling the data itself, other times just trying to locate the right source. This effort relied on manual ETL and lacked consistent governance, masking and automation. Timely insights were still elusive. The company needed more than a new platform; it needed to optimize both its modern investments and existing systems with a federated approach, one that connects data across platforms without requiring it to be centralized to one location.

Following a rigorous proof of concept, the insurance provider selected Denodo, paired with Databricks, to establish a logical data layer and deliver universal semantics and federated [governance](https://www.denodo.com/en/solutions/by-use-case/centralize-data-governance-risk-and-compliance). The shift accelerated high-value use cases and laid the foundation for a governed, data-product-centric strategy.

Download the case study to learn more.



 

 

 

  

 ![Solving the Lakehouse Bottleneck: How a Global Top 10 Insurer Accelerated Access to Real-Time, Trusted Data](/sites/default/files/asset-thumbnail-details-pages/CS-AXA%20France-01-Anonymous-detailThumbnail-500X500-02.png) [Download](/system/files/document-attachments/CS-Insurance-Anonymous_0.pdf) 

 

 

### Role

 ArchitectBusiness UserDeveloper 



### Solutions

- Data Governance
- Logical Data Warehouse




### Industry

- [Insurance](/en/solutions/by-industry/Insurance)



 

 

 



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