Date/Time
Date(s) - 08/04/2025
2:00 pm - 3:30 pm

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Data can accumulate and become unusable or outdated without proper maintenance.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 only the data but also the supporting architecture for processing it. This webinar introduces MDM as a strategic method to enhance and formalize practices around master data, which provides context for many organizational transactions. Unfortunately, MDM is often implemented with a technology-first approach, resulting in a poor success rate (only one-third succeed on time, within budget, and achieve planned functionality). Success in MDM requires a coordinated approach that typically involves data governance and data quality activities.

Learning objectives:

• Understand foundational reference and MDM concepts based on the Data Management Body of Knowledge (DMBoK)
• Understand why these are an important component of your data architecture
• Gain awareness of reference and MDM frameworks and building blocks
• Know what MDM guiding principles consist of and best practices
• Know how to utilize reference and MDM in support of business strategy

About the Speaker

Peter Aiken, PhD

Professor of Information Systems, VCU and Founder, Anything Awesome

Peter Aiken, Ph.D. is an acknowledged Data Management authority, an associate professor at Virginia Commonwealth University, president of DAMA International, and associate director of the MIT International Society of Chief Data Officers. For more than 40 years, Peter has learned from working with hundreds of Data Management practices in more than 30 countries. Among his 13 books are the first on making the case for data leadership (CDOs), the first focusing on data monetization and modern strategic data thinking, and the first to objectively specify what it means to be data-literate. International recognition has resulted from these and a (pre-Covid-19) intensive worldwide events schedule. Peter also hosts the longest-running Data Management webinar series on dataversity.net. Before Google, before data was big, and before Data Science, Peter founded several organizations that have helped more than 200 businesses leverage data – specific savings have been measured at more than $1.5 billion. His latest venture is Anything Awesome.