Case Study: Oakbrook achieves faster, fairer lending insights with Databricks

A Databricks Case Study

Preview of the Oakbrook Case Study

Oakbrook leverages the Databricks Data Intelligence Platform to simplify and personalize borrowing

Oakbrook, a UK fintech lender, needed a more scalable and flexible way to manage growing data volumes, governance demands, and outdated lending processes. To improve its consumer lending experience and support faster product development, Oakbrook turned to Databricks and the Databricks Data Intelligence Platform on Google Cloud.

With Databricks, Oakbrook modernized its lakehouse, optimized ETL, and gave data scientists and analysts a unified environment for SQL, R, and Python work. The result was faster processing with less code, improved collaboration, and better access to data and dashboards; new data sources can now be onboarded in about 30 minutes instead of days, and Fivetran integration has saved engineering time while enabling deeper customer insights.


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Oakbrook

Ed Ball

Head of Data, Security and Service Management


Databricks

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