Explanation: Financial institutions should perform the following actions to ensure proper data governance:
Establish an appropriate data management method for collecting and storing information. This is important to ensure that the data is consistent, reliable, and accessible for various purposes, such as risk assessment, compliance reporting, and customer service. Data management methods may include defining data standards, policies, and procedures; implementing data quality controls and validation checks; and using appropriate data storage systems and formats.
Ensure the accuracy of customer identification records and transaction records and appropriately manage data as a prerequisite for the effective use of IT systems. This is important to comply with the anti-money laundering and counter-terrorist financing (AML/CFT) requirements, such as customer due diligence, transaction monitoring, and suspicious activity reporting. Accurate and complete customer and transaction data also enables financial institutions to use IT systems more effectively for data analysis, risk management, and decision making.
Periodically validate integrity and accuracy of information used for IT systems such as customer information, customer identification records, and transaction records. This is important to ensure that the data remains up-to-date, relevant, and reliable over time. Data validation may include verifying the source and quality of the data; identifying and correcting any errors or inconsistencies; and updating or deleting any obsolete or redundant data.
References:
- Data Governance for Financial Institutions - Capgemini
- Small and Medium-Sized Deposit-Taking Institutions (SMSBs) Capital and Liquidity Requirements - OSFI