Upcoming Webinars
DATE: April 8, 2025 TIME: 2:00 PM – 3:30 PM Eastern / 11:00 AM – 12:30 PM Pacific PRICE: Free to all attendees About the Webinar Data can accumulate and become unusable or outdated without proper maintenance. Reference and master data management (MDM) is a popular approach to effectively manage not…
DATE: April 10, 2025 TIME: 2:00 PM – 3:00 PM Eastern / 11:00 AM – 12:00 PM Pacific PRICE: Free to all attendees This webinar is sponsored by: and About the Webinar Master data management (MDM) is undergoing a radical transformation through AI and machine learning technologies. This webinar will showcase how…
DATE: April 16, 2025 TIME: 8:00 AM – 12:45 PM Pacific / 11:00 AM – 3:45 PM Eastern PRICE: Free to all attendees Welcome to DATAVERSITY Demo Day, an online exhibit hall. We’ve had many requests from our data-driven community for a vendor-driven online event that gives you an opportunity…
Featured Online Training

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Latest Blogs by Industry Experts

Read more about author Irina Steenbeek. In this series of blog posts, I aim to share some key takeaways from the DGIQ + AIGov Conference 2024 held by DATAVERSITY. These takeaways include my overall professional impressions and a high-level review of the most prominent topics discussed in the conference’s core subject areas: data governance, data quality, and AI governance. In the first two blog posts of the series, I shared my observations and…

This is the first in a two-part series exploring Data Quality and the ISO 25000 standard. Read more about author Mark Cooper. In the 1964 dark comedy Dr. Strangelove, or How I Stopped Worrying and Learned to Love the Bomb, General Jack D. Ripper orders a nuclear strike on the USSR. Despite efforts to recall the bombers, one plane successfully drops a bomb on a Soviet target, triggering the Doomsday Device.…

Read more about author Subasini Periyakaruppan. Building on Part 1’s assessment and alignment foundation, we now focus on transforming momentum into sustainable data capabilities. Having established stakeholder buy-in and identified pitfalls, the journey continues with practical implementation that delivers measurable value. Success requires advancing three parallel tracks simultaneously: Stakeholder immersion, in order to establish fundamental principles and design critical use cases Technology foundation, in order to enable capabilities Organizational development, in…

Read more about author Chandrashekar Surbhat. As organizations navigate the complexities of the digital landscape, adopting artificial intelligence (AI) is no longer a luxury but a necessity. AI is set to transform industries, offering unprecedented opportunities for better efficiency, decision-making, and customer engagement. However, many companies still face significant challenges in bridging the AI gap – the space where potential meets practical implementation. A holistic AI adoption approach that emphasizes…
Recent Articles

Shutterstock Data has become one of the most valuable assets of modern businesses. The data a company collects, analyzes, and monetizes now serves as a distinct “asset class” rather than…

The latest installment in our Q&A series with women leaders in data features Prosasty Chaudhuri, CEO and founder of Cuspide Data. (Read our previous Q&A here.) Prosasty Chaudhuri spent over two…

spainter_vfx / Shutterstock Data lakehouses encompass the best of data lakes and data warehouses, making it possible to handle all types of data or analysis. Its architecture allows for versatile data storage…

Organizations increasingly recognize that an effective data governance strategy determines their ability to innovate and compete. Yet according to DATAVERSITY®’s 2024 Trends in Data Management report, 65% of organizations still rate their…
What is...?

A database management system (DBMS) describes a collection of multiple software services that work…

A data catalog inventories and makes critical datasets available through metadata management. This platform informs…

A Data Strategy is a reliable touchstone created by an organization for businesspeople to…

Data Management (DM) comprises a comprehensive collection of consistent and responsible practices, concepts, and…

Data Modeling describes the plans and activities around diagramming data requirements for business operations across…

Data Governance (DG) is a business program and bedrock that supports harmonized data activities across the…