Faster Financial Decision-Making With Data and AI
Santander, one of the world's largest banks, consolidated previously siloed business unit data into a single analytical environment on the Databricks Data + AI Platform, using Unity Catalog for governance. This enabled more than 4,000 users to work in an integrated way, cut data ingestion time from 71 days to hours, and reduced machine learning model build-and-deploy time by 50%.
Overview
Santander, one of the world's largest banks, consolidated previously siloed business unit data into a single analytical environment on the Databricks Data + AI Platform, using Unity Catalog for governance. This enabled more than 4,000 users to work in an integrated way, cut data ingestion time from 71 days to hours, and reduced machine learning model build-and-deploy time by 50%.
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Inspect the highlighted sourceThe challenge
Before implementing the Databricks platform, business units operated in data silos, making cross-functional access to information difficult and delaying critical processes.
The solution
Sources
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