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May 1 2024
Master Data Match Rules
As part of a master data management (MDM) implementation, a series of rules must be implemented to determine if two records refer to the same real-world entity that they represent. In the world of MDM, this is often referred to as the golden record, and master data match rules identify when two should become one.  Introduction  […]


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Author: Mark Horseman

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Feb 21 2024
The Art of Lean Governance: Addressing the Elephant in the Room
Hands down one of the most frequent observations when walking the data factory at different clients is the excessive use of spreadsheets for data collection and purification. These spreadsheets are part of a critical data enrichment process for getting reports out the door on time. However, these same spreadsheets represent a significant control problem exposing […]


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Author: Steve Zagoudis

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Dec 6 2023
Data Is Risky Business: Turning Abstract Ethics into Practical Practices
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 […]


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Author: Daragh O Brien

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Oct 4 2023
Fresh Ideas for Data Governance Professionals
As a frequent reviewer of data and strategy books, I am always interested in understanding authors’ perspectives on data governance. Two recent books have ideas that are worthy of data governance professionals: “Rewired” by Eric Lamarre, Kate Smaje, and Rodney W. Zemmel; and “Data Is Everybody’s Business” by Barbara H. Wixom, Cynthia M. Beath, and […]


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Author: Myles Suer

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Sep 6 2023
Data Product Success With Non-Invasive Data Governance
The role of data products has become pivotal, driving organizations towards insightful decision-making and competitive advantage. However, ensuring the achievement of these data products demands the strategic integration of Non-Invasive Data Governance (NIDG). This approach fortifies data quality, security, compliance, and collaboration while expertly navigating user queries and concerns. Central to this cooperation is the […]


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Author: Robert S. Seiner

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Jun 21 2023
Who Needs A Data Model Anyway?
These days, there is much conversation about the necessity of the data model. The data model has been around for several decades now and can be classified as an artifact of an earlier day and age. But is the data model really out of date? And exactly why do we need a data model, anyway? […]


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Author: Bill Inmon

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May 17 2023
Data Speaks for Itself: The Challenge of Data Consistency
Data quality management (DQM) has advanced considerably over the years. The full extent of the problem was first recognized during the data warehouse movement in the 1980s. Out of this, dimensional frameworks were developed for expressing data quality requirements and the development of DQM models such as the ISO 8000 Part 61: Data quality management: […]


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Author: Dr. John Talburt

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