April 28, 2025
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Data Columns

Data Professional Introspective: Accelerating Enterprise Data Quality

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My recent columns have focused on actionable initiatives that can both deliver business value, providing a tangible achievement, and raise the profile of the data management organization data management organization (DMO).(For more on the DMO, a plug-and-play initial organization was proposed in an earlier TDAN column, “Coming in from the Cold.”) In that light, let’s…

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Through the Looking Glass: Data Provenance in the Age of Generative AI

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Am I right that you can’t open LinkedIn, read a tech or business blog, or attend a conference for more than 30 seconds without encountering the generative AI hype? It’s been this way ever since last fall when OpenAI unleashed ChatGPT upon a (mostly) unsuspecting world. Depending on who you read or listen to, generative…

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Data is Risky Business: A Wicked Problem This Way Comes

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A recent data security incident in the Police Service of Northern Ireland (PSNI) got me thinking about the idea of wicked problems and data. The data security incident was the disclosure of the names, ranks, and job assignments of every officer and civilian support staff member in the PSNI. This happened due to ‘human error’…

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The Data-Centric Revolution: “RDF is Too Hard”

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We hear this a lot. We hear it from very smart people. Just the other day we heard someone say they had tried RDF twice at previous companies and it failed both times. (RDF stands for Resource Description Framework,[1] which is an open standard underlying many graph databases). It’s hard to convince someone like that…

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A Step Ahead: Data in Support of (Zero) Trust

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Over the past year, the conversations around Zero Trust have begun to accelerate. Much of the discussion is akin to data mesh and data fabric where business owners and management are hearing the term and asking what a Zero Trust product is. The term is also permeating data professionals’ conversations. This article provides a brief overview of…

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