DataEd Slides: Getting Data Quality Right – Success Stories

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About the Webinar

Good data is like good water: best served fresh, and ideally well-filtered. Data Management strategies can produce tremendous procedural improvements and increased profit margins across the board, but only if the data being managed is “of sufficient quality.” This program provides a useful framework guiding those approaching Data Quality challenges. Specifically, Data Quality must be approached as an engineering discipline. Data Quality engineering must be approached as a specific ROI-based discipline or it cannot effectively support business strategy. Better understanding of how to “do Data Quality right” allows for speedy identification of business problems, delineation between structural and practice-oriented defects in Data Management, and proactive prevention of future issues. Program learning objectives include:

  • Vivid demonstrations of how chronic business challenges for organizations are often rooted in broader kinds of Data Quality that suggested treatments can address
  • Helping you to understand foundational Data Quality concepts, guiding principles, best practices, and an improved approach to Data Quality at your organization
  • The basis of a number of specific case studies illustrating the hallmarks and benefits of Data Quality success

About the Speaker

Peter Aiken, PhD

Professor of Information Systems, VCU and Founder, Anything Awesome

Peter Aiken is an acknowledged Data Management (DM) authority. As a practicing data consultant, professor, author, and researcher, he has studied DM for more than 30 years. International recognition has come from assisting more than 150 organizations in 30 countries. He is a dynamic presence at events and author of 10 books and multiple publications, including his latest on Data Strategy. Peter also hosts the longest running webinar series dedicated to DM (hosted by dataversity.net). In 1999, he founded Data Blueprint, a consulting firm that helps organizations leverage data for profit, improvement, competitive advantage, and operational efficiencies. He is also Associate Professor of Information Systems at Virginia Commonwealth University (VCU), past President of the International Data Management Association (DAMA-I), and Associate Director of the MIT International Society of Chief Data Officers.

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