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Offered scalable automated solutions
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Centralised one data warehouse
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Automated reporting
CLIENT
- US-based bank
- Key challenges were:
- Business operations managed in silos
- Frequent requests for multiple data definitions and data transformation
- Multiple systems to manage data
- Fast-paced regulatory changes and business demand
OUR APPROACH
- Deployed a team of experienced subject matter experts to support validation and verification of data mapping, data mapping and lineage documentation, as per current expected credit loss (CECL) requirements
- Captured/collected information from multiple sources within the organisation, automating the data sourcing, where possible
- Transformed and standardised data points into a common data format
- Validated sourced risk data for completeness (including risk factors) and integrity
- Suggested precise data taxonomy and maintained data dictionary
- Defined and developed data staging and a central data warehouse structure to assist in enterprise data aggregation to support diverse data integration, enterprise data governance and metadata management
- Automated risk data aggregation and control to reduce errors
- Prepared accurate, comprehensive and clear reports for effective decision-making using PowerBI and PowerApps
IMPACT DELIVERED
- Assisted in ETL and/or data design while reviewing and ratifying the overall process
- Accelerated data streamlining and availability, supporting CECL data requirements and data mapping validation, documentation and risk data aggregation/transformation with documentation
- Reduced manual error and anomalies due to automated data sourcing and validations
- Improved turnaround on generating reports and publishing
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