Data Governance and Data Management are both very much related but then very different. Both have a big impact towards reducing risk but in different ways. You could say Data Management is a subset aspect of Data Governance. As the Tableau Software data visualization application summarizes in their article here:
Data governance establishes policies and procedures around data, while data management enacts those policies and procedures to compile and use that data for decision-making.
Data management is the creation and implementation of architectures, policies, and procedures that manage the full data lifecycle needs of an organization. Having these policies and procedures in place is critical to analyze complex, big data.
Data governance is a key component of data management – the practice of managing how the data that is being managed is processed through the organization. Data governance helps answer questions like:
- Who has ownership of the data?
- Who has access to the data?
- How is it used?
- How long is it retained?
- What compliance concerns apply?
With increased data related risks, our unique nimble approach to Data Governance goes beyond typical regulatory compliance. NRM suggests making it part of the flow, rhythm and that progress should be balanced along with other equally important with other work. By tapping into both Flow Engineering and then Business Agility you can pave the way towards better Data Management without the disruptive side effects or typical friction. By bringing all of these practices together you reap the benefits of not only reduced risk but improved business efficiency and performance.
Click through on these links to learn more about how business data introduces risk: