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Platform
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Integrate
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Govern
Your data really is a corporate asset. If you don’t believe us, look how much money you waste on finding, gathering, consolidating, cleaning, standardizing, and formatting it. And how much revenue do you generate by using it? We rest our case.
We’ve been talking about data as a corporate asset for awhile now. Business executives agree with us. Trouble is, they don’t know what to do next. You see, data governance means giving your enterprise information the oversight that it needs. It means bringing the business to the table to discuss ongoing information expectations. It means putting the process in place for continuous consideration. It means instituting a framework for ongoing decision rights. And it means ensuring the ability to execute on the resulting definitions and policies being driven by data governance.
Data governance transcends the delivery of integrated information. It involves the creation of guiding principles, the allocation of decision-making authority, the formation of key decision-making bodies, and the linkage to leadership committees for tie-breaking and buy-in. It’s more than just getting people to the table. It’s keeping them there through ongoing measurement and value delivery.
It’s also about an execution framework. Baseline’s data governance practice includes designing formal data management capabilities that will allow your company to deliver high-quality, meaningful data to the business users and systems that need it. This often means setting up a data management team or a center of excellence that includes structured approaches to metadata management, data quality automation, data correction and enrichment, data modeling and administration skills, privacy and security tactics, and the headcount and specialized skill sets they entail.
Whether data governance is being driven by the business or by IT, it’s important that you put the pieces in place to support your most critical business initiatives. People at your company need help making this happen. We can help them. It’s time for the complex, culturally relevant, expectations management work that is designing data governance and data management. Let’s do this thing.
