DATE: August 8, 2017
TIME: 2 PM Eastern / 11 AM Pacific
PRICE: Free to all attendees
About the Webinar
To co-opt an old adage: “If data gets lost and no one knows where to find it, does it still take up hard-drive space?” In the interest of avoiding that unfortunate philosophical end, individual data structures enable sorting, storage, and organization of data so that it can be retrieved and used efficiently. Applying the correct data structure to different types of data—whether master, reference, or analytics—allows your organization to tailor its data management to fit its unique business needs.
In this webinar, we will:
- Discuss the various data structures available and when to use each one, as well as different design styles for analytics
- Illustrate how data structures should support your organizational data strategy
- Demonstrate how each method can contribute to business value
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.