Data plays a crucial part in business, allowing businesses to make better decisions and drive growth. It can be difficult to manage this wealth of data. To ensure that your business is able to take advantage of all the benefits that data can offer and more, a flexible approach to managing data is essential.
Flexibility is crucial in any GRC program since it lets organizations to be flexible and adapt to changing needs. Rigid models impose data siloes and make sharing difficult, however, flexible approaches like metadata-driven data dictionaries, business glossaries and data lineage records could assist in addressing these problems. Flexible data management also allows companies to avoid expensive platforms-based data units, such as data warehouses and data ponds which can be difficult to transfer from or scale up to meet the growing requirements.
In this episode of GRCM & ME, the Director of Customer Success Szuyin Leeow explains why flexibility is essential in GRC. She will also explain how to incorporate it into your data-management strategy.
The best way to ensure that your company’s data management systems remain flexible is by designing them with the end goal in mind. This means agreeing on what results and insights your business is hoping to be able to achieve in order to effectively structure and configure your systems to achieve those goals. Using the right tools, such as MarkLogic’s semantic capabilities will also allow you to rapidly scale your data infrastructure without losing control of your sensitive information.