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As a frequent reviewer of data and strategy books, I am always interested in understanding authors’ perspectives on datagovernance. Two recent books have ideas that are worthy of datagovernance professionals: “Rewired” by Eric Lamarre, Kate Smaje, and Rodney W. Wixom, Cynthia M.
As a result, your data becomes quick to discover, easier to understand, and more accessible by humans and machines. A library wouldn’t just store books on random shelves; it would categorize them, label them, and have entries in a catalog system. Metadata management does the same thing for your data.
This quarter’s column draws on my keynote for DAMA Calgary’s contribution to DAMA Days Canada last month, which in turn drew on some of the content in the second edition of the “Data Ethics” book I wrote with my colleague Katherine O’Keefe (particularly, Chapter 3 and Chapter 11). My keynote looked at the thorny question […]
In today’s fast-paced business environment, having control over your data can be the difference between success and stagnation. Leaning on MasterDataManagement (MDM), the creation of a single, reliable source of masterdata, ensures the uniformity, accuracy, stewardship, and accountability of shared data assets.
AI can also be used for masterdatamanagement by finding masterdata, onboarding it, finding anomalies, automating masterdata modeling, and improving datagovernance efficiency. Early research shows that AI could have cost-saving benefits for companies with complex supply chains.
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