You Are Liable for Not Establishing a “Common Vocabulary” in Your Organization!
  Ron Klein   Ron Klein
Global Data Governance Leader
Royal Bank of Canada
  Laura Sebastian-Coleman   Laura Sebastian-Coleman
Data Quality Lead
  Danette McGilvray   Danette McGilvray
President and Principal
Granite Falls
  Len Silverston   Len Silverston
Universal Data Models, LLC
  Thomas Redman   Thomas Redman
Founder and President
Data Quality Solutions


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

Level:  Business / Non-Technical

The format of this session is a court room, where the defendant is accused of having
ignored the need to establish a valid and sound “common vocabulary” in her organization.  Key industry experts play the roles of court clerk, judge, prosecuting attorney, expert
witness, defense attorney, and defendant. 

The audience is the jury.  Before you vote, you must listen carefully and weigh the
evidence to determine if the defendant was negligent. Join us for this creative
presentation where you will:

•Understand why a common vocabulary is so urgent and the risks of not having one

•Hear suggestions and ideas for building a common vocabulary, associated challenges, and best practices

•Be inspired to commit to action for building a common vocabulary in your own organization


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.

Laura Sebastian-Coleman (CDMP, IQCP), Data Quality Lead at Aetna/CVS Heath, has worked on data quality in large health care 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).

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 excels 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. An internationally respected expert, Danette is the author of "Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information"™ (Morgan Kaufmann, 2008). 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 

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, and is well-known for his "Universal Data Models" – reusable models that help to develop higher-quality data models in less time. He authored "The Data Model Resource Book" (volumes 1, 2, and 3), which describes hundreds of reusable data models. The volume 1 book was rated No. 12 on the Computer Literacy Best Seller List, 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 events and other international conferences. Mr. Silverston's company provides consulting, training, publications, and software to enable information integration.

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.