I just read a great blog post by Marty Moseley discussing the results of a data governance survey he and his team recently fielded. The feedback he collected matches recent data governance-related surveys and interviews I've done with my clients at Forrester - the general consensus being that most data governance programs - if they exist at all - remain extremely immature and fraught with risks. The most common roadblocks range from minimal to no executive sponsorship (as Marty also noted), IT-driven efforts with limited to no business participation, lack of business justification and the ever-present likelihood of "de-prioritization" when a more compelling initiative or fire drill comes along.
But there is a silver lining here. As I shared with the survey results in my Oct 2009 research "Trends 2009: Master Data Management," while only 4 percent of my 113 survey respondents felt they had a very high level of data governance maturity (represented by a cross-enterprise, cross-functional data governance organization spanning both business and IT roles with top-down executive sponsorship and measurable value-add), the vast majority of these organizations also recognized "trusted data technologies" like data quality and MDM as critical path to their organization's success. Most organizations admit there remain a number of inhibitors (mostly political, prioritization and ROI calculation-related) that make it difficult to support large investments in these technologies. But most also believe that data governance is the right approach to bridging this driver/inhibitor gap and are investing more time and resources to figure out how to operational data governance processes within their own organizational context and culture.
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