Upcoming Webinars
DATE: April 22, 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: About the Webinar Break down the barriers of siloed IT data. Discover how to bring together siloed monitoring data, service history, and institutional knowledge…
DATE: March 25, 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: About the Webinar Poor governance of reports, data, and ETL leads to significant hidden costs in most organizations. Companies are spending excessive amounts on…
DATE: March 27, 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: About the Webinar With the rapid changes in technology available to support AI, analytics, and reporting, it can be confusing where to start in creating…
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Latest Blogs by Industry Experts

Read more about author Eamonn O’Neill. The idea of managing data at tremendous scale is hardly new. Most businesses embraced the concept of “big data” and associated technologies (like data lakes) at least a decade ago. However, the adoption of modern AI technology has introduced major new challenges to the big data world – so many, in fact, that it feels like we’ve entered a “second wave” of large-scale data…

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 final episode of the Data Sips series features Shannon Kempe, DATAVERSITY’s chief digital officer, chatting with host Steve MacLauchlan, head of data at Ippon. Steve also hosts a longer version of the series called The Data Pour, where…

Read more about author Cameron Ogden. AI has the power to transform industries by analyzing massive datasets and automating complex processes. However, AI’s effectiveness is directly tied to the integrity of the data fueling it. Data governance is required to drive accountability around privacy and ethics, while poor quality data results in inaccurate AI outcomes, leading to customer dissatisfaction, delayed decisions, and increased costs. Despite AI’s potential, only 12% of organizations report…

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 blog post of the series, I shared my observations and described trending topics…
Recent Articles

tadamichi / Shutterstock Data is often called the raw material of the information age, and it does share characteristics with the resources that power other industries. For example, imagine trying…

The latest installment in our Q&A series with female leaders in data features Jacqueline Paneque, Head of Data Literacy and Data Quality at TE Connectivity. (Read our previous Q&A here.) Jacqueline Paneque…

eamesBot / Shutterstock 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…

VectorMine / Shutterstock 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…
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…