Data is a crucial aspect of business. It aids companies in making better decisions and helps drive growth. However, managing this wealth click to investigate of information can be a challenge. To ensure that your business can reap the benefits data can offer, a flexible approach to data management is critical.

Flexibility is a must in any GRC program since it lets organizations to adjust to the demands of changing. The rigid models create silos of data and barriers to sharing but flexible approaches such as metadata-driven data dictionaries, business glossaries and data lineage records can help address these problems. Flexible data management also enables organizations to avoid costly platform-based data units such as data warehouses and data ponds, which can be difficult to transfer from or increase their size to meet increasing demands.

In this episode of GRCM & ME, the Director of Customer Success Szuyin Leeow explains why flexibility is important in GRC. She also explains how you can incorporate it into your overall strategy for managing data.

The best way to ensure that your organization’s data management solutions remain flexible is by designing them with the end goal in mind. This means agreeing on what you want to gain from your business and the results it hopes to achieve, so that you can efficiently structure and configure your systems to achieve the goals. MarkLogic’s semantic capabilities can assist you to quickly increase the size of your data infrastructure without compromising your confidential data.