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Santander logo

Key highlights

Category

Financial Services

Location

Headquarters:  London, United Kingdom

Solution highlights

  • Modern Data Platform: Cloudera Enterprise
  • Key Components: Apache HBase, Apache Kafka, Apache Kudu, Apache Sentry, Apache Spark Streaming, Cloudera Data Science Workbench, Kerberos
  • BI & Analytics Tools: MicroStategy, Ab Initio

Applications supported

  • Marketing
  • Financial Crime
  • Risk Management

Impact

  • Helped bank identify 7,000 new corporate customer prospects
  • Reduced capital expenditures by $3.2 million and decreased operating expenses by $650,000
  • Enabled marketing to realize $2.4 million in annual savings on cashback on commercial transactions.
  • Protected 3.7 million customers from poor outcomes from financial crimes, with 95 new proactive control alerts

Santander UK created an agile data warehouse with Cloudera, linking real-time data streams to identify thousands of new corporate customer prospects and reduce capital expenditures by $3.2 million.

Santander UK is a large retail and commercial bank based in the UK and a wholly owned subsidiary of the major global bank Banco Santander.

Santander UK created an agile data warehouse with Cloudera that incorporates near-real-time data streams and enables self-service analytics. Processing 10 million transactions per day (30,000 transactions per second at peak times), the platform provides unprecedented insight and business value across the organization--from marketing to financial crime to risk management. Fifteen million active customers get data from the architecture through branches, telephone banking and mobile services.

Additionally,  the platform has accelerated innovation as data scientists and analysts can draw from a nexus of transactions, interactions, payments and applications data to imagine new business opportunities.

Already, the bank has realized impressive benefits spanning new revenues, cost savings, and risk reductions including:

  • Creating analytics for corporate customers with near-real-time shopping behavior and helping identify 7,000 new corporate customer prospects

  • Reducing capital expenditures by $3.2 million and decreased operating expenses by $650,000

  • Enabling marketing to realize $2.4 million in annual savings on cashback on commercial transactions

  • Protecting 3.7 million customers from poor outcomes from financial crimes, with 95 new proactive control alerts