One of the key first steps in launching a successful data governance program is securing executive buy-in. Drafting a project charter can help you communicate the importance of data governance to senior executives.
Data doesn’t stay in one place these days. Data governance for ever-moving, ever-changing data needs to mindful of the movements and their repercussions. It needs a clear data flow diagram.
Business data glossary is a collection of the organization’s key data assets. Think of it as a comprehensive data address book that comprises important business terms, their definitions, and associated technical knowledge, including relational data about who owns it and how it should be used and when. It synthesizes your data and represents it in a simple, readable format.
The DGC is the body that governs your organization’s data governance policies, guides and advises your data strategy, prioritizes and approves your data governance initiatives and projects, and offers ongoing support for these.
IT governance and Data governance are terms often used interchangeably. In fact, they are closely related and have a common purpose: to make the best or optimal use of the organization’s assets and create business value. Where they differ is in terms of what they govern.
Data is the new commodity that everyone’s betting will drive the next phase of growth across industries. This being the case, organizations are defining new roles and responsibilities within their current setups to ensure effective data governance. One such key role is that of a data steward.
On May 25, 2018, the EU’s General Data Privacy Regulation (GDPR) came into effect, creating a ripple effect with far-reaching consequences. How are other lawmakers responding to it? Is the GDPR the gold standard upon which data privacy laws everywhere can be based?
Why we need a business-focused rather than an IT-focused approach
to data governance.
Data catalogs support democratization of data beyond the reach of just the IT team. Depending on the need at hand, organizations can allow different user groups differentiated access to the repository.
What results in the failure of DG programs of certain organizations? What can your organization do to ensure successful implementation of data governance?