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Mind the Gap: The Data Chasm


Welcome to the inaugural edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). This month, we start not with a gap but with a chasm – one that’s at the core of a bewildering paradox. We continue to see […]

The post Mind the Gap: The Data Chasm appeared first on DATAVERSITY.


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Author: Mark Cooper

Demystifying Data Analytics Models


In today’s global landscape, organizations worldwide are increasingly turning to data analytics to enhance their business performance. Research conducted by McKinsey Consulting revealed that data-driven companies not only experience above-market growth but also witness EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization) increases of up to 25% [1]. Additionally, Forrester’s findings indicate that organizations utilizing […]

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Author: Prashanth Southekal

Ask a Data Ethicist: What Data Is OK to Use to Prompt ChatGPT?


Millions of people are using ChatGPT on a regular basis to assist them in both personal and professional capacities. This month’s question centers on the data used to prompt ChatGPT.  Our reader, who shared that they are an ESL speaker, would like to know if it’s ethical to have ChatGPT create summaries of information (specifically, […]

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Author: Katrina Ingram

5 Key Strategies for Making Data Visualization Accessible


“If I can’t picture it, I can’t understand it.” —Albert Einstein Research has found that 65% of the general population are visual learners, meaning they need to see information as images to understand it. The business world confirms this: Visualization is essential in driving success. Take, for instance, data visualization, or, the art of translating data into […]

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Author: Daniel Jebaraj

Putting a Number on Bad Data


Do you know the costs of poor data quality? Below, I explore the significance of data observability, how it can mitigate the risks of bad data, and ways to measure its ROI. By understanding the impact of bad data and implementing effective strategies, organizations can maximize the benefits of their data quality initiatives.  Data has become […]

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Author: Salma Bakouk

Three Key Commandments of Effective Dashboards


A dashboard is a visual snapshot of business performance using KPIs (key performance indicators) to help users make smarter, data-driven decisions. An effective dashboard simplifies the visual representation of complex data and helps stakeholders understand, analyze, and present key insights at a glance. At the core, the objective of a dashboard is to make complex […]

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Author: Prashanth Southekal

Data Governors, First Govern Yourselves


Data Governance, as currently practiced, is failing. There have been some successes, but by and large, even these efforts have fallen short. Worse, many of those tasked with contributing to Data Governance find the effort painful.  We have enormous sympathy for data governors. (We use the term “data governors” – DGs – as the most […]

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Author: John Ladley and Thomas Redman

The Cool Kids Corner: Data Quality Is Not a Fish You Can Catch 


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. (Read last month’s column here.) This month we’re talking about Data Quality (DQ). Data Quality, the phrase “garbage in, garbage out,” dirty data, data […]

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Author: Mark Horseman

Unleashing the Power of AI and ML in Data


In today’s insight-informed world, businesses of all sizes need to be able to access and analyze their data in order to make informed decisions. However, data is often siloed in different systems and difficult to access, making it challenging for businesses to get the insights they need. The demand for help to streamline these operations […]

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Author: Justin Kearney

Data Marketplace, Data Catalog, and Data Sharing Agreements: Let’s Make It Clear


As some of you already know, I am dedicating these summer days to the writing of my new book, “99 Questions About Data Management,” which follows in some way the book “20 Things You Have to Know About Data Management.” After the many questions I have received, I find it interesting to answer this one: […]

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Author: Michele Iurillo

Yes, Being a Citizen Data Scientist Can Help You Succeed


If your enterprise has nominated you for the role of a citizen data scientist, you must have the right tools and augmented analytics features to help you fulfill your role.  Gartner has predicted that “90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.” This statement, coupled with […]

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Author: Kartik Patel

Self-Service Data Without Chaos


Information is power, and the ability to put information into the hands of those who can quickly act on it separates the leaders from the laggards in any market. Everyone in an organization – from HR professionals leveraging data to dictate hiring decisions to brand managers leveraging data for pricing optimization – benefits from analytics. […]

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Author: Diby Malakar

The Cool Kids Corner: Change Management for Data Literacy


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. This month we’re talking data literacy and change management. What is data literacy? Why is it important? What are the barriers? How do […]

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Author: Mark Horseman

10 Ways to Enhance Your Data Analysis Skills


In our increasingly data-driven world, the ability to analyze data has become a valuable skill. Data analysis skills empower us to make informed decisions, uncover hidden patterns, and extract meaningful insights.  With the demand for professionals skilled in data analysis on the rise, acquiring these abilities is more important than ever.  In this article, we will […]

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Author: Rohail Abrahani

Why the Future Success of Organizations Relies on Innovation from IT


Organizations are sitting on a mountain of data and untapped business intelligence, all stored across various internal and external systems. Those that utilize their data and analytics the best and the fastest will deliver more revenue, better customer experience, and stronger employee productivity than their competitors. And the organizations that can answer the tough questions […]

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Author: Trevor Schulze

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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Author: Zuzana Zatrochova

Data Mesh: A Pit Stop on the Road to a Data-Centric Culture


The noble effort to build a “data-centric” culture is really a journey, not a destination. With that perspective, we can understand that no matter how good a given environment seems to be –especially compared to whatever existed before – there’s always room for enhancement. As more technologies, strategies, and disciplines emerge, the ongoing evolution ensures constant improvement. […]

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Author: Karanjot Jaswal

Solving the Cloud Skills Shortage Through DEI


The U.S. labor shortage has stubbornly persisted, with tech being one of the most affected industries. This is not necessarily due simply to the lack of candidates but to the lack of highly skilled candidates. As demand for cloud services grows, finding certified cloud-native engineers to support this demand continues to be challenging for some of […]

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Author: Poonam Flammarion

Why Traditional Threat Prevention Is Insufficient for Insider Threats


Security teams can be so focused on blocking cyberattacks from external actors that they forget the potential threats within their organizations. Verizon reports that insider threats cause almost 20% of all breaches.  Insider threats are difficult to defend against using traditional threat prevention measures because insiders inherently require elevated trust and access to get their jobs done. […]

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Author: Anastasios Arampatzis