Companies recognize the importance of managing employee identities, data and permissions. But managing customer identity data requires an entirely different set of tools and technologies in order to keep up with the flood of data being generated as consumers interact across channels and devices.
Starting data governance initiatives can seem a bit daunting. You’re establishing strategies and policies for data assets. And, you’re committing the organization to treat data as a corporate asset, on par with its buildings, its supply chain, its employees or its intellectual property.
However, as Jill Dyché and Evan Levy have noted, data governance is a combination of strategy and execution. It’s an approach that requires one to be both holistic and pragmatic:
• Holistic. All aspects of data usage and maintenance are taken into account in establishing
• Pragmatic. Political challenges and cross-departmental struggles are part of the
equation. So, the tactical deployment must be delivered in phases to provide quick
“wins” and avert organizational fatigue from a larger, more monolithic exercise.
To accomplish this, data governance must touch all internal and external IT systems and establish decision-making mechanisms that transcend organizational silos. And, it must provi
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