Why Flexible Data Management Is So Important in GRC


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Data plays an essential role in business, helping businesses make better decisions and drive growth. However, managing this amount of information can be a challenging task. To ensure that your organization can reap the benefits that data can offer, a flexible approach to managing data is crucial.

Flexibility is essential to any GRC program because it lets organizations adapt to changing requirements. In rigid models, data silos create barriers and create barriers to sharing, but flexible approaches such as metadata-driven glossaries for business and data and data lineage records could help to address these issues. Flexible data management can also allow companies to avoid costly platforms-based data structures, such as data warehouses and data ponds, which can be difficult to transfer from or increase their size to meet increasing requirements.

In this episode of GRCM & ME, LogicGate’s Director of Customer Success Szuyin Leeow discusses the importance of flexibility in GRC. She also explains how to incorporate it into your data management strategy.

The best way to ensure your company’s data management systems remain flexible is to design your solutions with the end in mind. This means deciding on the data and results your company is hoping to be able to achieve in order to efficiently structure and configure your systems to meet the goals. MarkLogic’s semantic capabilities can help you rapidly increase the size of your data infrastructure without compromising the security of your data.