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About the Webinar

Organizations must realize what it means to utilize data quality management in support of business strategy. This webinar will demonstrate how chronic business challenges can often be attributed to the root problem of poor data quality. Showing how data quality should be engineered provides a useful framework in which to develop an effective approach. Establishing this framework allows organizations to more efficiently identify business and data problems caused by structural issues versus practice-oriented defects; giving them the skillset to prevent these problems from re-occurring.

Learning Objectives:

• Understanding foundational data quality concepts based on the DAMA DMBOK
• Utilizing data quality engineering in support of business strategy
• Case Studies illustrating data quality success
• Data quality guiding principles & best practices
• Steps for improving data quality at your organization

About the Speakers

Karen Akens

Data Consultant, Data Blueprint

A data management consultant with Data Blueprint. As a Certified Data Management Professional, she has data management and solution development experience for numerous government and commercial clients. Her skill-set includes in-depth analysis of clients’ business processes, analysis of data and data sources, and development and communication of data-centric tailored solutions that add business value. Her expertise focuses on eliciting business and technical requirements and facilitating communication between the business users and technical experts, including all levels of management. She has helped clients improve data flow logistics, develop data quality programs, implement data governance programs, and utilize data visualization for effective decision making. She is also a board member of DAMA-CV.

Peter Aiken

Founding Director, Data Blueprint

Peter Aiken, Ph.D., is widely acclaimed as one of the top ten data management authorities worldwide. As a practicing data consultant, author and researcher, he has been actively performing in and studying data management for more than 30 years. Throughout his career, he has held leadership positions and consulted with more than 50 organizations in 20 countries across numerous industries, including defense, banking, healthcare, telecommunications and manufacturing. He is a highly sought-after keynote speaker and author of multiple publications, including his latest books “Monetizing Data Management” and “Making the Case for the Chief Data Officer”. Peter is the Founding Director of Data Blueprint, a data management consulting firm that puts organizations on the right path to leverage data for competitive advantage and operational efficiency. He is also Associate Professor of Information Systems at Virginia Commonwealth University and past President of the International Data Management Association (DAMA).

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