Data Governance: Embedding a Data Governance Process
Naomi Clarke
Introduction
Risk Data Aggregation and Risk Reporting: A Regulatory Perspective
A Regulatory Perspective
Delivering Compliance: Challenges and Opportunities
BCBS 239 at Commerzbank: Applying a Central Standards/De-central Implementation Approach
Data Governance: Embedding a Data Governance Process
What is the Problem with Risk Data, and How Can Executive Data Governance Address it?
Data Architecture and Aggregation
Managing Data Quality: Completeness, Accuracy and Timeliness
Data governance does not sit in isolation, divorced from its strategic and corporate governance context. It is important to understand what it is, why it became a topic of such interest in relation to BCBS 239 and how circumstances within banks can be leveraged to ensure that the principles behind data governance are embedded within the day-to-day business. Once this context is understood, a framework for effective data governance will be proposed that covers the key principles of BCBS 239. This will not only satisfy immediate requirements for risk data aggregation and reporting, but also provide a foundation that can be rolled out across other business areas. As indicated in the Principles (18), “... banks may also benefit from applying the Principles to other processes, such as financial and operational processes, as well as supervisory reporting”.
Risk aggregation and reporting data covers many of the datasets within a bank. However, as time moves on, the regulatory direction will be to appreciate the spirit of the principles, and their application across all important data within the bank. Clients, as well as supervisors, are also becoming increasingly demanding. They will
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