an executive guide to data governance
This guide summarizes all the information we have in our blog. We are actively building this content. On this page, you will find clear and concise information.
Should you require more information on the subtopic you are reading, simply click on any link to read the blog post which goes into more details.
Content of this guide
The business case
Definition and scope
Note: we are actively building this page. Bookmark it and come back often.
THE BUSINESS CASE
We will be adding more information soon for this section.
DEFINITION AND SCOPE
Let's clarify what Data Governance is and what it covers.
What is Data Governance?
There are many definitions of Data Governance. We like the one from David Plotkin (2013):
Data Governance is the exercise of decision making and authority for data-related matters. It’s a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.
The key thing to take away from this definition is that the practice of Data Governance has more to do with establishing the roles and responsibilities about how people manage and make decisions about data than about the data itself. That is, Data Governance–and Data Stewardship–is all about making sure that people are properly organized and do the right things to make their data understood, trusted, of high quality, and, ultimately, suitable and usable for the enterprise’s purposes.
Reference: InterPARES Trust
What do we govern, exactly?
There are nine (9) aspects we manage with Data Governance. They are:
Impact (or ROI)
A Data Governance program eventually can manage all these. Because of the impact they have on each other, it is important they are overseen through one, global and common framework.
MORE COMING SOON
Thank you for your understanding