Practical Steps for Overcoming Political Challenges in Data Analytics
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  David Marco   David Marco


Monday, September 19, 2016
01:00 PM - 02:30 PM

Level:  Intermediate

The study and implementation of Data Analytics programs have become key initiatives for most large organizations. For a company to be successful in this endeavor they must first defeat the greatest obstacle of any data management program…POLITICS!!

This intensive 90-minute session will teach you about the 6 types of “problem” people that Data Analytics programs traditionally have to deal with:

  • Rulers of the Status Quo (RSQ): They have power and influence. Are not proponents of your program and may be actively opposed to it
  • PAs (Passive Aggressives): They will avoid your emails, phone calls and meetings
  • Snipers: They don’t have authority but they will “bad mouth” your project every chance they get
  • Zealots: They believe in data analytics but are
  • highly inflexible and cause more harm than good
  • Debbie Downer: The name says it all. The train she takes only stops at the winery!
  • Mouse King: He only wants to protect his little kingdom while hiding his mistakes

Most importantly you will learn the 7 best practices for dealing with these problem people. These best practices will be presented in detail with real-world examples provided for each of the best practices.

Best known as the world’s foremost authority on metadata management, he is an internationally recognized expert in the fields of data management, data governance, and business intelligence. In 2004 David Marco was named the “Melvil Dewey of Metadata” by Crain’s Chicago Business as he was selected to their very prestigious “Top 40 Under 40” list and was named by DePaul University as one of their “Top 14 Alumni Under 40”. In 2008 David Marco earned the DAMA Data Management Professional Achievement Award. He is the president of and is their lead contributor. David Marco is the author of the widely acclaimed, 2 top-selling books in metadata management history, “Universal Meta Data Models” and “Building and Managing the Meta Data Repository” (available in multiple languages). In addition, he is a coauthor for multiple books and published hundreds of articles some of which have been translated into Mandarin, Russian, Portuguese and others.

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