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Modernizing Analytics: Coforge Empowers UK's Largest Bank with Cloud-Driven Data Transformation

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Overview.

The UK's largest bank faced challenges with a complex data landscape and multiple platforms, hindering their ability to derive timely insights and drive digital initiatives. Seeking to modernize their data infrastructure, the bank partnered with Coforge to establish a simplified, governed data model. This transformation aimed to reduce support costs, mitigate data control risks, enable platform reuse, and facilitate seamless data curation across teams, positioning the bank as a leader in the digital business landscape. 

Challenges.

  • Complex data landscape with multiple platforms 
  • High support costs and data control risks 
  • Lack of platform reuse and seamless data curation 
  • Need for an authoritative distributor of Digital Business Services data 
  • Slow time-to-market for digital initiatives 
  • Difficulty in deriving data-driven insights 

Solution.

Coforge implemented a modern data warehouse and analytics platform using GCP & BigQuery:

  • Built a trusted, single source of truth for DBS data 
  • Implemented a federated operating model across DBS teams 
  • Developed metadata-driven search capabilities for enhanced data discovery 
  • Enabled real-time dashboards and business intelligence capabilities 
  • Leveraged GCP's pay-as-you-go model for cost optimization 
  • Implemented Archer automation for streamlined data governance

Key highlights:

  • Single, authorized source of truth for DBS data 
  • Enhanced data discovery through metadata-driven search 
  • Real-time insights supporting data-driven decision-making 
  • Significant cost reduction through GCP's model and zero infrastructure maintenance 
  • Over 80% reduction in manual effort through Archer automation

 

 

The Impact.

80% Zero Reduced
Reduction of Manual Efforts Infrastructure Maintenance Cost of Ownership

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