In order to find value in your organization's data assets, heroic data stewards are tasked with saving the day- every single day! These heroes adhere to a data governance framework and work to ensure that data is: captured right the first time, validated through automated means, and integrated into business processes. Whether its data profiling or in depth root cause analysis, data stewards can be counted on to ensure the organization's mission critical data is reliable. In this webinar we will approach this framework, and punctuate important facets of a data steward’s role.
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Mike Ogilvie
Data Management Consultant, Data Blueprint
Mike Ogilvie is a data management consultant with more than 15 years of experience in delivering customized data solutions across multiple industries. Mr. Ogilvie has worked for Fortune 500 companies, non-profits, and start-ups to solve critical data-driven solutions and create data management processes. He holds a B.S. in Physics from James Madison University.
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).