Most organizations recognize the importance of data governance, although they often fail in their efforts to become data-driven. Investing in technology doesn’t address this problem and may make it worse because data governance is a process rather than a software tool. Successful data governance requires organizations to address human factors such as cultural change, which is the greatest obstacle to implementation.
Business leaders tend to greatly underestimate the difficulty of cultural change. They must become much more serious about addressing the human side of data if they wish to derive the business benefits of data governance. Most businesses still view data as a byproduct of business process and have a low comprehension of its tangible benefits. Furthermore, they have a weak analytic capability or fail to focus on the analytics that produce value. Only a few organizations exploit their data to obtain a competitive advantage by diversifying their business models, which improves their operational efficiency and helps them identify new market opportunities.
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Data Governance,Data Modeling,Metadata,
ER/Studio Data Architect,ER/Studio Enterprise Team Edition,