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Big data analytics, dearth of standards bedevil data governance efforts
Sponsored by SearchDataManagement
Data governance, or managing the availability, usability, integrity and security of enterprise data, isn’t just about employing new tools. Organizations need to tie their data governance programs to business initiatives and goals. So it’s about incorporating new roles and processes into the operations models. And a growing and increasingly varied volume of data flowing into the enterprise -- "big data" -- isn’t helping organizations get a handle on it.
This three-part guide highlights the important questions that companies implementing (or already managing) a data governance program need to answer. First, IT consultant Wayne Eckerson outlines some of the key problems that, in his opinion, are keeping organizations from effectively addressing and analyzing data. First on his list is the lack of a common data vocabulary. Next, David Loshin, president of Knowledge Integrity Inc., tackles the new role of chief data officer. What are the responsibilities? How will the new role affect data governance practices? SearchDataManagement news and site editor Jack Vaughan closes the guide with a short Q&A with Anne Marie Smith, principal consultant at Alabama Yankee Systems, which addresses the recent explosion of big data and how organizations can better govern it. Her advice? "They should do it the way you eat an elephant: one bite at a time."
Table Of Contents
- Common data vocabulary helps create info order
- CDO should take lead on data strategy, governance
- Don’t give big data a pass on data governance