One of the biggest stumbling blocks is getting business resources to govern data. We've all heard it:
"I don't have time for this."
"Do you really need a full time person?"
"That really isn't my job."
"Isn't that an IT thing?"
"Can we just get a tool or hire a service company to fix the data?"
Let's face it, resources are the data governance killer even in the face of organizations trying to take on enterprise lead data governance efforts.
What we need to do is rethink the data governance bottlenecks and start with the guiding principle that data can only be governed when you have the right culture throughout the organization. The point being, you need accountability with those that actually know something about the data, how it is used, and who feels the most pain. That's not IT, that's not the data steward. It's the customer care representative, the sales executive, the claims processor, the assessor, the CFO, and we can go on. Not really the people you would normally include regularly in your data governance program. Heck, they are busy!
But, the path to sustainable effective data governance is data citizenship - where everyone is a data steward. So, we have to strike the right balance between automation, manual governance, and scale. This is even more important as out data and system ecosystems are exploding in size, sophistication, and speed. In the world of MDM and data quality vendors are looking specifically at how to get around these challenges. There are five (5) areas of innovation: