Data governance frameworks are collections of rules, roles, and processes designed to help ensure that an organization is properly managing its data.
It’s no secret that for many modern businesses, success or failure is defined by how well they can collect, control, and command their data. But while data is a well-known essential across nearly every industry, understanding what data is—and how best to put it to use to advance company objectives—can still be a hurdle for many businesses. Data governance describes the processes associated with managing the security, integrity, availability, and usability of company data, ensuring that vital data is not only reliable, consistent, and well defined, but that it is also being put to effective use.
Data governance is, as the name suggests, a solution for helping organizations govern their data. But data governance cannot exist in a vacuum; for data governance to provide actual value, it relies on established structures, rules, and processes, in the form of data governance frameworks. These frameworks help streamline potentially complex governance tasks, scale core processes, and facilitate data-management collaboration, while also ensuring compliance with data-management standards and regulations. In other words, data governance frameworks help businesses define and document how data is being administered across the entire enterprise.
Manage risk and resilience in real time with ServiceNow.