Data-Ed: Data Quality Strategies
October 9, 2018 at 2 PM EST/ 11 Am PST
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 a high quality. Determining how Data Quality should be engineered provides a useful framework for utilizing Data Quality management effectively in support of business strategy, which in turns allows for speedy identification of business problems, the delineation between structural and practice-oriented defects in Data Management, and proactive prevention of future issues.
Webinar Description
  • Help you understand foundational Data Quality concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK), as well as guiding principles, best practices, and steps for improving Data Quality at your organization

  • Demonstrate how chronic business challenges for organizations are often rooted in poor Data Quality

  • Share case studies illustrating the hallmarks and benefits of Data Quality success

Learning Objectives
About the Speaker
Peter Aiken is acknowledged to be a top Data Management (DM) authority. As a practicing data consultant, author, and researcher, he has been actively performing and studying DM for more than 30 years. His expertise has been sought by some of the world’s most important organizations and his achievements have been recognized internationally. He has held leadership positions and consulted with more than 75 organizations in 21 countries across numerous industries, including defense, banking, healthcare, telecommunications, and manufacturing. He is a sought-after keynote speaker and author of multiple publications, including his latest, “The Case for the Chief Data Officer” and “Monetizing Data Management.” Peter is the Founding Director of Data Blueprint, a consulting firm that helps organizations leverage data for competitive advantage and operational efficiencies. He is also Associate Professor of Information Systems at Virginia Commonwealth University (VCU) and past President of the International Data Management Association (DAMA-I).
Founding Director