Welcome to March 2025’s “Book of the Month.” This time we’ll be reviewing “6 Secrets for Delivering Impossible Projects” by Mark G. Cooper. Dr. Cooper’s main goal in putting this book together is to help people identify challenges organizations face that are seemingly impossible to solve. He identifies these as “impossible projects” and details what makes a project […]
Data Education Month: Join the Celebration!
Happy Data Education Month! Every March, we here at DATAVERSITY celebrate all things data and the people who work with it every day. We’ve got loads of free educational resources to help you build your skills, brush up on data trends, and future-proof your career – as well as our biggest discounts of the year […]
Mastering Data Visualizations for Better Understanding
The sheer volume of data generated daily has reached staggering levels, and approximately 328.77 million terabytes of data are created every single day, according to Statista. In fact, 90% of the world’s data has been created in just the past two years, underscoring the rapid pace of data generation. However, the explosion of data has […]
These 11 Data Leaders Want You to Prioritize Continuous Learning
In today’s fast-paced tech environment, data and IT professionals are increasingly investing in continuous learning to future-proof their careers. Why? According to the World Economic Forum, we are in the midst of a “reskilling revolution,” with technology expected to radically transform 1.1 billion jobs in the next decade. A recent IBM survey estimated that 40% of the workforce will […]
The 2025 Data Center Blueprint: Reducing Energy Consumption Through Virtual Twins
In 2024, we saw a significant surge in data center demand fueled by the rapid growth of AI technology, which is projected to increase 160% by 2030. This unprecedented growth introduced a defining challenge of the AI era: how to balance the environmental impact of data centers with the urgent need to scale infrastructure to support AI advancements. […]
Data Sips: Interview with Mark Cooper
Data Sips is a new video miniseries presented by Ippon Technologies and DATAVERSITY that showcases quick conversations with industry experts from last month’s Data Governance & Information Quality (DGIQ) Conference in Washington, D.C. The sixth episode of the Data Sips series features Mark Cooper, founder of The Data Brains (and a DATAVERSITY columnist), chatting with host Steve […]
The Importance of Continuing Education in Data and Tech
Continuous upskilling ensures that individuals are equipped with the latest knowledge and technical skills needed to handle their jobs in data management fields. Employers increasingly seek candidates who not only possess foundational knowledge but also demonstrate the capacity to adapt and grow with emerging industry trends. Moreover, skills that enhance data security, data management, and the ethical […]
Revenue Data Governance: The Competitive Advantage Enterprises Can’t Afford to Ignore
Revenue data is no longer just a metric – it’s the strategic heartbeat of every enterprise. In the next decade, companies that capitalize on revenue data will outpace competitors, making it the single most critical asset for driving growth, agility, and market leadership. To achieve sustainable growth, companies require a holistic view of their revenue […]
Securing Your Company’s Data Assets Depends on Both Tech and Humans
It is obvious how essential data security has become in the face of sophisticated cyber attacks. Companies need to continue to improve their processes and systems to protect sensitive information. While advanced cybersecurity technologies help massively, they can’t do it alone. Ensuring all-around safety requires the humans in the loop to work in tandem with […]
The Convergence of the Data Mesh and Data Fabric: Data Architecture’s New Era
The most meaningful development in contemporary data architecture isn’t the growing interest in the concepts of the data mesh and the data fabric. Instead, it’s the potential for convergence of these two architectural approaches into a single architecture that supports both decentralization and centralization of integrated data, local data ownership, universal accessibility, and top-down and bottom-up implementation methods. […]