by Angela Guess
Craig Stedman recently wrote in Search Data Management, “If you’re looking to launch a data governance program in your organization, don’t forget to include a plan for creating data quality metrics that can quantify the initiative’s business value. That was one of the top planning and implementation priorities cited by data governance managers who spoke during a virtual conference held this week.Other to-do items detailed by the speakers included getting deep levels of business buy-in and participation, setting up a solid data governance structure for managing the process, and devising a communications strategy for spreading the governance word internally.
Stedman goes on, “But, they said, a lot of making it all work — and getting continued support and funding — hinges on being able to show that a governance program is paying tangible business dividends. And that typically comes down to documenting revenue gains or cost savings from governance-generated data quality improvements. ‘What [business managers] really care about is data quality,’ said Jennifer Ippoliti, firmwide data governance lead for the chief data office at financial services firm JPMorgan Chase & Co. ‘That’s how the business sees it — not as a data governance problem but as a data quality problem. And sometimes, that’s how you have to spin it to make it real for people’.”
photo credit: Flickr/ -Jeffrey-