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Mar 4 2024

The Cool Kids Corner: Neurodiversity in Your Team

Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. (Last month, we discussed the importance of communication.) This month, we’re talking about neurodiversity in your data team. The term neurodiversity was first […]

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The AI Trust Gap: A Cultural Perspective

Only 52% of employees are confident their organization will ensure AI is implemented in a responsible and trustworthy way, according to Workday’s Closing the AI Trust Gap report. Trust will be key to getting employees engaged in the change needed to realize AI’s full potential. This post will look at what can be done from a cultural perspective. What Is […]

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Data Professional Introspective: Demystifying Data Culture

The term “data culture” is frequently used to describe a normative view about how an organization functions (or more precisely, should function) with respect to its data. The term is not particularly well defined, and the notions held about this term can vary significantly. Many data management professionals think of an organization’s data culture as […]

Why Is Data Quality Still So Hard to Achieve?

We exist in a diversified era of data tools up and down the stack – from storage to algorithm testing to stunning business insights. In fact, it’s been more than three decades of innovation in this market, resulting in the development of thousands of data tools and a global data preparation tools market size that’s set […]

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Becoming Data-Driven Without a Data Analyst

Data analysts are an important part of modern business, and this article will not argue otherwise. But it will argue that not every company, department, and team needs a data analyst to become data-driven. Before being hired as senior product manager of a data integration platform, I had little experience working directly with data tools. But I knew […]

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Current State Analysis of Your Data – Part 4 – Data Outcomes

This article is the fourth installment in a series taking a deep dive on how to do a Current State Analysis on your data. This article focuses on Data Outcomes: what they are, why they are important, and what questions to ask to determine the current state. [Publisher note: Click here to see part 1, […]

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