Cherry Bekaert: Risk & Cybersecurity · Cherry Bekaert

Data Management Best Practices for Financial Institutions

·21 min

The discussion begins with the question of what continuous digitization means for small and medium-sized banks. Alan Swan answers that digitization is just the baseline use of digital technology, not something separate from normal operations. He keeps the focus on how organizations manage data well enough to support integrity and performance. The conversation then moves to governance as the practical center of the problem. Alan says governance should include definition, lineage, and segmentation. He treats those as simple concepts, even if they still take discipline to put in place. The point is not to build an elaborate platform first. The point is to establish a shared understanding of the data. That shared understanding gives users a baseline reference point. With that reference point, people can use data in a more consistent and intended way. The episode then turns to how smaller institutions can do this without a large specialist function. Alan says the work does not require a complicated tool set. It does require a method for capturing the data elements. It also requires agreement on what the elements mean, how they are used, and what their values should and should not be. Once those baseline terms are defined, the organization has a process for maintenance and can keep adding to the glossary over time. The discussion emphasizes that this approach is not about high-cost deployment. It is about creating a governance framework that can expand without throwing the program off course. Alan notes that many firms build these programs with data stewards and specialists, but smaller organizations probably do not need to go that far. Existing knowledge workers can often handle the work if they have a clear structure. The conversation then focuses on segmentation. Alan says segmentation has two main purposes: separating data by usage categories and categorizing it for regulatory and privacy concerns. The overall tone stays practical and advisory, translating governance language into business usefulness.

As heard by us

A practical case for keeping data governance simple, usable, and durable.

The piece treats data management as a working discipline rather than a shopping list of tools, which fits smaller and mid-sized banking institutions trying to keep up with digitization.

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Why you'd press play

Press play for a plainspoken guide to risk and data governance in small and medium-sized banks.

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