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Thursday, March 21, 2019 
02:15 PM - 05:30 PM
NOTE: This seminar continues to Friday morning.
Successful data governance programs require organizations to navigate through political waters to make difficult data-related decisions. This navigation is required because governance causes organizations to enforce authority, coordinate, and cooperate in cross-business activities. Often data governance efforts fail to get a return on their investment due to ineffective disciplines around the management of human factors affecting data work.
Building a capability to get the “right” people to make the “right” decisions at the “right” time using the “right” knowledge lies at the heart of data governance. Getting the organization involved in defining the framework to make this happen is a major hurdle that requires senior understanding of the political ramifications of formalizing accountability.
Come prepared to interact with Danette McGilvray and the rest of the workshop participants to discuss effective communications strategies and the role of politics, authority, and culture in successful data governance programs. You will leave with solutions that will work for your organization.
An internationally respected expert, Danette McGilvray is known for her Ten Steps™ approach, used by multiple industries as a proven method for increasing the value of data through quality and governance. It applies to operational processes and focused initiatives such as security, analytics, digital transformation, artificial intelligence, data science, and compliance. Danette guides leaders and staff as they connect business strategy to practical steps for implementation.
As president and principal of Granite Falls Consulting, Inc., Danette is committed to the appropriate and effective use of technology and addressing the human aspect of data management through communication, change management, and engaging with people. Danette is the author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™, 2nd Ed. (Elsevier/Academic Press, 2021), often described as a “classic” or noted as one of the “top ten” data management books.The 2nd edition is used as a textbook in university graduate programs and has been translated into Chinese.
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