This PPT slide, part of the 27-slide BCBS 239 - Risk Data Aggregation PowerPoint presentation, focuses on the critical principle of accuracy and integrity in risk data management, as outlined by the Basel Committee on Banking Supervision (BCBS) in Regulation 239. It emphasizes the necessity for banks to produce reliable risk data, which is essential for effective risk management and informed decision-making.
The content is structured around several key focus areas, beginning with "Risk data accuracy." This section explores the definitions of what constitutes "accurate" and "reliable" data, highlighting the importance of differentiating between normal and crisis situations, as well as critical versus non-critical data elements. This distinction is vital for understanding the varying levels of data reliability required in different contexts.
Next, the slide addresses "Reconciliation," which includes considerations such as the frequency of reconciliations, acceptable thresholds, and timelines for handling issues. It also discusses the degree of automation in reconciliation processes and the reliability of data sources.
The "Access to risk data" segment outlines how user access should be structured based on hierarchy and compliance processes, emphasizing the need for a clear review hierarchy and the frequency of access reviews.
The concept of a "Single authoritative source of data" is presented as a target state architecture that aims to ensure a single, trusted version of the truth. This is crucial for maintaining data integrity.
Finally, the "Maintenance" section underscores the importance of controlling reconciliation effectiveness and ongoing assessments of review processes. It stresses the need for consistent policies and procedures to mitigate risks associated with manual processes.
Overall, this slide serves as a foundational overview for organizations aiming to enhance their risk data aggregation and reporting capabilities, ensuring compliance with regulatory standards.
This slide is part of the BCBS 239 - Risk Data Aggregation PowerPoint presentation.
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