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Information governance (IG) has a wide range of varying definitions, depending on whom you ask. Some consider it to be an amorphous collection of policies that are difficult to translate into the real world. Others view it as a holistic strategy document, or a series of discrete, tactical projects that implement best practices in data security or storage optimization.
Organizations struggle with the notion of information governance for a variety of reasons. Some lack the executive support necessary to get programs off the ground, while others feel hampered from executing on small, tactical projects due to their legal or regulatory profile. Equally confusing is the purpose of IG ' whether it is intended to reduce storage costs, improve e-discovery or impact corporate risk and security.
When executed well, IG can accomplish all of these things and more. But one of its most meaningful results is the differentiation of data types and stronger security protocols around a corporation's most sensitive data. Because not all enterprise data is created equal, different data requires differing levels of protection. As we've learned from the long list of publicized data breaches, there is an increasing need for companies to get smarter about locating, organizing and securing their truly sensitive data.
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