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Introduction
Challenges
Complex and Manual Data Sourcing: Time-consuming processes required to remediate and perform top-side adjustments due to manual data sourcing.
Lack of Robust Controls: The absence of stringent controls around liquidity reporting posed risks of regulatory non-compliance.
Inadequate Liquidity Data Lineage: Poor data lineage hindered traceability and accountability, affecting the integrity of liquidity reporting.
Lack of Documentation: Missing documentation on data migration and previous requirements documents capturing data flow from source to downstream further complicated the process.
Implementation
Robust Controls for Liquidity Reporting: This bank implemented a comprehensive set of controls to enhance the accuracy and integrity of liquidity reporting.
Recreation of Liquidity Reporting Data Lineage: Undertook a thorough review of business requirements and technical documents and engaged with system owners to confirm and document system-level data schemas, thereby recreating the liquidity reporting data lineage for critical data elements.
Automation of Data Sourcing: Introduced automated tools for data collection and processing to minimize manual interventions and streamline the data sourcing process.
Enhancement of Liquidity Data Lineage: Established clear and comprehensive data lineage for liquidity reporting to improve transparency and traceability.
Results
Reduced Manual Errors: The automation and improved controls significantly reduced manual errors, enhancing the efficiency of the liquidity reporting process. The enhancements allowed the report generation time to be cut down by 35%.
Regulatory Compliance: This bank achieved full compliance with regulatory requirements well ahead of the deadline, mitigating the risk of penalties.
Enhanced Data Lineage: The recreated and enhanced data lineage provided clear visibility and accountability, ensuring the integrity and reliability of liquidity reporting.
Conclusion
This bank comprehensive approach to improving its liquidity reporting processes through enhanced controls, automation, and data lineage has led to significant operational improvements. By addressing the root causes of inefficiencies and risks, the bank has not only achieved regulatory compliance but also enhanced the overall quality and reliability of its liquidity reporting. This initiative underscores the importance of robust data management practices in meeting the complex demands of financial reporting and regulatory compliance.