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Data Governance “Poorly Practised”

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The concept of data governance is one much bandied about in EDM circles, especially as the notion of purely centralised data management morphs into a more pragmatic strategy of centralised control over distributed data stores. But, as is well documented in a new white paper written by Baseline Consulting and sponsored by master data management hub provider Siperian, putting data governance into practice is no mean feat.

As the author, Baseline partner Jill Dyche, writes: “The goal of data governance is to establish and maintain a corporate-wide agenda for data, one of joint decision making and collaboration for the good of the company. It’s a joint effort between the business and IT, and one that’s so far been at best misunderstood, and at worst poorly practised.”

There are several reasons for the failure of data governance, Dyche says, including relying on IT and business data managers to bring data governance to life. “These individuals… may… lack the organisational clout to influence development and participation in a business-sanctioned data governance undertaking.” Another is that data governance councils tend “to simply fade away”.
Baseline recommends a four step process to create a sustainable data governance framework. First, design the data governance, establishing guiding principles, decision rights and decision making bodies. Second, overcome organisational barriers. Third, enact and oversee. Refine goals and resources and communicate performance results. Four, deliver and measure benefits.

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