2024 DATAVERSITY Top 20

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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Prescriptive Analytics Use Cases

Optimizing business outcomes through advanced analytics and real-time scenario analysis represents a significant leap forward in decision-making processes. In practice, advanced analytics provides a framework for evaluating an extensive array of potential outcomes derived from different decision paths.  It integrates ML models that simulate various scenarios in real time, thereby offering a dynamic decision-support system….

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Becoming a Citizen Data Scientist Can Improve Career Opportunities

When a business decides to undertake a data democratization initiative, improve data literacy, and create a role for citizen data scientists, the management team often assumes that business users will be eager to participate, and that assumption can cause these initiatives to fail.  Like every other cultural shift within an organization, the management team must…

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The Future of Data Literacy

There was a time when only elite, tech-savvy staff in an organization understood and felt qualified to discuss data-enabled business decisions. These individuals often possessed advanced academic degrees in data science, data engineering, statistics, operations research, and other allied fields and did not speak the language of the ordinary business staff. As a result, there…

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Women in Data: Meet KNIME Head of Data Science Evangelism Rosaria Silipo

The latest installment in our Q&A series with women leaders in data features Rosaria Silipo, head of data science evangelism at KNIME. (Read our previous Q&A here.) Rosaria Silipo, Ph.D., has worked in data analytics and data science for the past 30-plus years. Currently the head of data science evangelism at KNIME (as well as a longtime DATAVERSITY…

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Leveraging Citizen Data Scientists to Augment Data Science Teams

According to some estimates, the average salary of a data scientist in the United States is over $150,000 per year. If your business wishes to accommodate a data-first strategy to improve metrics and measurable success and avoid guesswork and strategies that are based on opinion rather than fact, it can either employ a team of expensive…

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The Hidden Language of Data: How Linguistic Analysis Is Transforming Data Interpretation

From Fortune 500 companies to local startups, everyone’s swimming in a sea of numbers, charts, and graphs. But here’s the thing: While structured data like sales figures and customer demographics have long been the backbone of analytics, there’s a growing realization that unstructured data is the real goldmine. Think about it. Every tweet, email, customer review, and social…

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AI Is Now A Core Capability Of BI Platforms

Scientists estimate that insects account for 80% of all animal life on Earth. It’s no wonder that you can’t walk even one foot into a forest without stepping on something crawling or being overwhelmed with buzzing and biting insects. While I am not ready to say that AI-based functionality accounts for 80% of a typical…

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Evaluating Enterprise Data Literacy

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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How to Build a High-Performance Analytics Team

When most people think of analytics, they tend to picture a rigidly left-brained data scientist more at home with computer programming than creativity. But analytics leader and author John K. Thompson challenges such a notion. During his keynote presentation at DATAVERSITY’s Enterprise Analytics Online event, he proposed instead that the members of an analytics team can be…

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