Governance is one of those issues frequently mentioned with Big Data, but few pieces go into depth about what that means. So this week, I’ve focused on what several expert sources say about Big Data governance.
First, I shared four new governance challenges Big Data creates. The next day’s post focused on how to prioritize, simplify and adapt for two of those challenges _— data roles and a broader, enterprise-approach to the data.
Today, I’m wrapping up with a look at what experts say about the next two problem areas: business buy-in and technical challenges.
In my previous post, I shared how Big Data creates broader business involvement and explained the problems that this can create. Involvement isn’t enough, though. For success, you’ll also need to ensure that business users understand, appreciate and support Big Data governance.
Prioritize: Middle managers are often the cause of slow adoption and maturity, writes Avi Kalderon, NewVantage Partners’ practice leader for Big Data and Analytics, in “10 Steps to Big Data Success.” That’s because they tend to be the skeptics, so be sure to prioritize winning over LOB middle managers.