You Are Guilty as Charged For Not Enabling in Your Organization the “Common Vocabulary”!

			Ron Klein Global Data Governance Leader Royal Bank of Canada
			Danette McGilvray President and Principal Granite Falls www.gfalls.com
			Thomas Redman Founder and President Data Quality Solutions
			Laura Sebastian-Coleman Data Quality Lead Aetna
			Len Silverston President Universal Data Models, LLC

Wednesday, March 20, 2019
08:30 AM - 09:30 AM

Level:

Business / Non-Technical

This is a panel with key industry experts that will argue in favor and against the need to establish a "common vocabulary" in an organization.

The format is a court room where we will simulate with strong arguments why, who, where, when did the what happened.

Dr. Ron Klein plays a leading role in enabling organizations to leverage the value of information assets by providing governance, data quality, and the facilities to determine what information is available, its meaning, where it is, how it got there, and how to use the information asset. Currently, he is the Global Data Governance Leader at the Royal Bank of Canada, where he is responsible for Data Strategies and Data Governance, working with agile labs and with personnel in all regions of the Investment and Treasury group. As Global Metadata Leader for KPMG, he provided guidelines and standards for all participant firms, functions, and markets. He consults, promotes, and raises awareness regarding information sharing, reuse, and information best practices. He is an excellent communicator and has taught data modeling and data management courses through Ryerson University and speaks regularly at international industry events, DAMA functions, and Metadata Conferences.

Danette McGilvray is president and principal of Granite Falls Consulting, a firm that helps organizations increase their success by addressing the information quality and data governance aspects of their business efforts. Focusing on bottom-line results, Granite Falls' strength is in helping clients connect their business strategy to practical steps for implementation. Data quality and governance are always tied to an organization's goals, issues, and opportunities, with communication and the human aspect of work also being emphasized. "Danette is the author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information"™ (Morgan Kaufmann, 2008). An internationally respected expert, her Ten Steps™ approach has been embraced as a proven method for managing data quality in any organization. A popular speaker, she has taught her courses in several countries. Her book has been translated into Chinese and is being used as a textbook in university graduate programs. Contact her at danette@gfalls.com.

Dr. Thomas C. Redman, “the Data Doc,” President of Data Quality Solutions, helps start-ups and multinationals; senior executives, Chief Data Officers, and leaders buried deep in their organizations, chart their courses to data-driven futures, with special emphasis on quality and analytics. Tom’s most important article is “Data’s Credibility Problem” (Harvard Business Review, December 2013). He has a Ph.D. in Statistics and two patents.

Laura Sebastian-Coleman (CDMP, IQCP), Data Quality Lead at Aetna, has worked on data quality in large healthcare analytic data warehouses since 2003. Laura has implemented data quality metrics and reporting, launched and facilitated data quality working groups, and contributed to data consumer training programs. She has led efforts to establish data standards and to manage metadata for large analytic data warehouses. DAMA Publications Officer (2015-18) and production editor for the DAMA-DMBOK2, she is also author of Navigating the Labyrinth (2018) and Measuring Data Quality for Ongoing Improvement (2013).

Len Silverston is a best-selling author, consultant, and speaker with over 30 years of experience integrating organizations’ information, systems, and people. He is a thought leader in data modeling, data management, and the human dynamics of integrating information. Well known for his "Universal Data Models," these re-usable models help to develop higher quality data models in less time. He authored "The Data Model Resource Book series" (Volumes 1, 2, and 3), which describe hundreds of reusable data models. The volume 1 book was rated #12 on the Computer Literacy Best Seller, and there are Chinese and Korean translations in the series. He is the winner of the DAMA International Professional Achievement Award for 2004 and the DAMA International Community Award for 2006. He has received the highest speaker rating for numerous DAMA and other International conferences. Mr. Silverston's company provides consulting, training, publications, and software to enable information integration.

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