A UK based bank wanted to embark on an enterprise-wide data strategy and transformation programme, to centralize it's D&A capabilities including master data management, data catalogue, analytical tools and platforms.
Challenges
Siloed approach to data governance and tool usage across the bank
Data quality maturity inconsistencies
Approach
Created a centralized repository of high-quality data
Automated an end-to-end solution from data sourcing to visualization
Incorporated ML models to analyze data patterns, report outliers and resolve entities with string matching algorithms
Impact
Enabled Program Managers to use trusted data for investment insights with increased frequency of reporting
Reduced processing efforts by 90% from over 15 market data sources
Request for services
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