Canvas Logo

Mastering the Human Side of Data Governance and Data Quality

Tuesday, December 8, 2020
08:40 AM - 09:20 AM
Intermediate

In most data governance and data quality efforts, there are common and inevitable scenarios involving human dynamics that occur, and the success of these programs depends on how we handle them. So why not be prepared and learn principles and techniques that have been proven to work and be aware of common mistakes to avoid? A key to data governance and data quality is to understand the personal, cultural, and political environment and to consciously employ best practices regarding the human element that is involved. The most effective enterprise-wide data governance and data quality efforts usually share one thing in common: They have had or have developed effective ways to handle common scenarios that are bound to occur, and they develop an environment that provides fertile ground for success.

This presentation will share principles, techniques, and exercises to help tackle these common scenarios and to understand and move toward an environment that enables data governance and data quality. It will provide stories of successful and unsuccessful efforts, illustrating why some programs succeed and others fail, as well as what we can do to avoid pitfalls.

You will learn:

  • Political and cultural factors that are key to data governance and data quality programs
  • Common situations that are bound to occur in data governance and data quality programs and for which we need to be prepared in order to be successful
  • How to effectively handle these Inevitable scenarios and situations that are bound to occur
  • Tools and principles to enable data governance and data quality, such as keys in understanding motivations, facilitating a common vision, developing trust, and managing conflict
  • Real-life stories of how culture and politics either blocked or fostered success


Len Silverston

Len Silverston

President
Universal Data Models, LLC

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 was the winner of the DAMA International Professional Achievement Award in 2004 and the DAMA International Community Award in 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.