DATE: October 10, 2017
TIME: 2 PM Eastern / 11 AM Pacific
PRICE: Free to all attendees
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 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 turn allows for speedy identification of business problems, delineation between structural and practice-oriented defects in data management, and proactive prevention of future issues.
Over the course of this webinar, we will:
- Help you understand foundational data quality concepts based on the DAMA Guide to Data Management Book 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
About the Speaker
Founding Director, Data Blueprint
Peter Aiken, Ph.D., is a modern-day business guru, highly sought after as a keynote speaker and widely respected as one of the top ten data management authorities worldwide. During the course of a career spanning over 30 years, Peter has revolutionized the data management discipline, an achievement to which more than 50 organizations in 20 countries and myriad industries—from healthcare to defense, telecommunications to manufacturing—can attest. Peter’s technical know-how and experience as a speaker, teacher, consultant, and writer have produced outstanding structural efficiency and profitability for dozens of clients—not to mention six renowned data management publications, the latest of which are his books Monetizing Data Management and Making the Case for the Chief Data Officer. Outside of winning over crowds all across the globe, Peter is the Founding Director of Data Blueprint—a data management consulting firm with a steadfast reputation for putting organizations on the right path to leverage data for competitive advantage and operational excellence—as well as a former President of the International Data Management Association (DAMA), an Associate Professor of Information Systems at Virginia Commonwealth University, and a passionate horse enthusiast alongside his wife Cathy.