To view the On Demand recording of this presentation, click HERE>>
This webinar is sponsored by:
About the Webinar
Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords: “Big Data,” “NoSQL,” “Data Scientist,” and so on. Few realize that any and all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, Data Modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business.
Instead of the technical minutiae of Data Modeling, this webinar will focus on its value and practicality for your organization. In doing so, we will:
- Address fundamental Data Modeling methodologies, their differences and various practical applications, and trends around the practice of Data Modeling itself
- Discuss abstract models and entity frameworks, as well as some basic tenets for application development
- Examine the general shift from segmented Data Modeling to more business-integrated practices
- Discuss fundamental Data Modeling concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
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).