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4 Tips for Data Quality Maintenance

Ashly Arndt | January 29, 2024

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BCBS 239 is abuzz in NYC

At NYC’s Data Governance Financial Services Conference this week, presenters and attendees alike were buzzing about BCBS 239. As they should! While the internationally recognized Basel Committee on Banking Supervision (BCBS) published their guidelines on Principles for effective risk data aggregation and risk reporting back in January 2013, the three year head start to comply is looming! These principles really are a positive force in the industry, aimed at mitigating systemic risk across large banks, a factor contributing to the 2008 financial collapse. Both Global and Domestic Systemically Important Banks (G-SIBs & D-SIBs, respectively) are in the crosshairs and expected to follow suit by the time the ball drops in Times Square (Jan 2016).

Getting to a better data quality framework

To make best use of your data asset across your organization, it is essential to have a solid data quality framework to ensure that your data is accurate and complete. But all data quality management models are not created equal: different organizations have different levels of data quality maturity, depending on organizational priorities and needs.