March 22, 2025
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Data Strategy News, Articles, & Education

2024 DATAVERSITY Top 20

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As we approach the end of another year, we here at DATAVERSITY have been busy analyzing our data and answering the big questions: What was the most popular content on our website and training center over the past 12 months? Which data management topics did you – our readers and students – seek out again…

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Legal Issues for Data Professionals: In AI, Data Itself Is the Supply Chain

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Data is the supply chain for AI. For generative AI, even in fine-tuned, company-specific large language models, the data that is input into training data comes from a host of different sources. If the data from any given source is unreliable, then the training data will be deficient and the LLM output will be untrustworthy….

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ADV Webinar: What Does Information Management Maturity Look Like in 2024?

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Download the slides here>> About the Webinar Maturity frameworks have varying levels of information management maturity. Each level corresponds to not only increased data maturity, but also increased organizational maturity and bottom-line ROI. These are the recommended targets to achieve an effective information management program. The speaker’s maturity framework sequences the information management activities for…

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Data Storytelling: Be a Data-Driven Organization

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With the staggering amount of data in use today, it’s no wonder that business leaders are increasingly harnessing its power to develop meaningful insights and make informed decisions. According to a survey by Deloitte, organizations that make use of data for decision-making are twice as likely to exceed their business goals and outperform their competitors. One method to…

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Data Professional Introspective: The Perennial Question

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I’ve often encountered client staff, course students, and conference attendees who are grappling with the basic question: “What is the difference between Data Managementand Data Governance?”  It seems that the more our industry expands, the more frequently this question is asked.  ———- I attribute this to a few factors:  The increasing volume of data management…

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Mind the Gap: Ask for Business Actions, Not Business Value

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I’m not sure I know anyone in the data and analytics field whose platform doesn’t face budget scrutiny. Analytics is expensive. And when cost-cutting is the order of the day, analytics is a big target. Up shields. Time for another business value inventory. I’ve spoken with consultants who have completed analytics business value inventories at…

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Evaluating Enterprise Data Literacy

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Any organization that aims toward complete digital transformation must move toward enterprise data literacy. So, what exactly is data literacy? Gartner defines data literacy as: “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied – and the ability to describe the…

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What Is Data Literacy?

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Data literacy (DL) describes how well an individual or organization understands, works with, analyzes, visualizes, and applies data to reach their goals. The specific context and use case determine what applying data literacy looks like in practice. For example, while reading visualizations on product deliveries provides value, true data literacy involves going further. It involves actively…

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The Analytics Sandwich: Understanding the Business Value of Data and AI

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In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm optimization, overshadowing the core business objectives that originally spurred these initiatives. Yet, conversations with chief information officers (CIOs) and chief data officers (CDOs) reveal a relentless pursuit of concrete business value, a metric that determines…

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Data Intelligence: The Key to Empowered People and Decisions

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McKinsey analysts predict that enterprise employees will rely on data for almost every decision come 2025. If true, this development would mark a significant departure from the current business modus operandi. According to our research, only 25% of enterprise data professionals believe their organization’s decision-making process is data-backed or strategic.  How are these two concepts – the perception of data…

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