AI case study

SantanderData analytics platform

Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.

Published|2 months ago

Result highlights

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The story

Context

One of the world's largest banks, founded in 1857 and serving millions of customers globally.

Challenge

Business units operated in data silos that obstructed cross-functional access and delayed critical processes. The data ingestion workflow was...

Solution
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Scope & timeline

  • 50% reduction in ML model development time
  • 4,000+ internal users on unified data platform

The company

Santander logo

Santander

santander.com

Global retail and commercial banking group with diverse financial services.

IndustryFinancial Services
LocationBoadilla del Monte, Madrid, Spain
Employees100K+
Founded1857

The AI provider

Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.

IndustrySoftware & Platforms
LocationSan Francisco, California, United States
Employees10K-50K
Founded2013

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