Seven Rules for Information Governance in the Cloud
A roadmap to information governance in the cloud.
Yesterday, I wrote why I believe data governance is key to self-serve IT. But to be honest, I can see why you'd be tempted to procrastinate on data governance. It sounds intimidating. "Governance" conjures up all kinds of images, from guys in white wigs using Old English pronouns, to a room full of exhausted business people debating data minutiae ala "12 Angry Men."
Apparently, some people thought of cupcakes, but I hear they were soon disabused of this idea.
Data or information governance - the difference seems to be that information governance focuses more on legal compliance - may not involve balloons and cupcakes, but it doesn't have to be a punishing ordeal, either. Here are five steps you can take to ease the trauma of starting data governance.
Create a road map that slowly widens in scope. Corrigan also recommends you start governance with a road map that includes phases. The first step may seem small, even insignificant, but it will start the momentum for the second phase, which should be more important, he says.
Go agile with governance. Governance is one of those things that seems like it should be done all at once. But even the Constitution as it stands today wasn't written in one sitting or even a single decade. One smart approach some companies are trying: Apply agile software development principles to information governance. Jorge Garcia, an analyst at Technology Evaluation Centers, told IT World Canada companies that do this execute in rapid session and achieve milestones in a matter of weeks, rather than eight to nine months.
Don't (necessarily) wait for C-level buy-in. You'll hear it time and time again: Gain executive buy-in before you begin any IT initiative. And while having a CXO on board is always great, it's not always necessary. But Jill Dyche, vice president of the Baseline Division at DataFlux, says that in the real world, what matters is you find someone with the "organizational authority to incent participation and secure funding for data governance."
Make sure of three know hows. There are three "know hows" every data governance effort should identify and use as guiding principles: Know how it aligns with business strategy, know how it delivers business value and know how you're going to achieve an ROI. This can be particularly important when it comes to, say, decisions about whether to archive something, as Dyche demonstrates through example.
For more on implementing data governance, you might also want to read: