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Data is an essential component of business. It helps companies make better decisions and boosts growth. However, managing this wealth of information can be a challenging task. Flexible data management is vital to ensuring that your organization can reap the benefits of data.
Flexibility is essential in any GRC program because it lets organizations to adjust to the demands of changing. Rigid models impose data siloes and make sharing difficult, but flexible methods such as metadata-driven data dictionaries, business glossaries and data lineage records can assist in addressing these problems. Flexible data management also allows organizations to avoid costly platforms-based data units, such as data warehouses and data ponds, which can be difficult to move from or scale up to meet growing needs.
LogicGate Director of Customer Success Szuyin Leow discusses the importance of flexibility in GRC and how to build it into your strategy for managing data in this episode of our podcast, GRC & Me.
It is important to design your data management solutions with an end in view. This involves agreeing on what insights and outcomes your business hopes to be able to achieve in order to effectively organize and configure your systems to align with those goals. Making use of the right tools, like MarkLogic’s semantic capabilities, will also allow you to quickly scale your data infrastructure without losing control of your sensitive data.