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METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260420T003426Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2020dc.datave
 rsity.net/sessionPop.cfm?confid=139&proposalid=12014\n\np.p1 {margin: 0.0px
  0.0px 0.0px 0.0px; line-height: 15.0px; font: 12.0px Verdana; color: #181d
 1e; -webkit-text-stroke: #181d1e; background-color: #000000; background-col
 or: rgba(0, 0, 0, 0)}\nspan.s1 {font-kerning: none}\n\n\nIn most data gover
 nance and data quality efforts, there are common and inevitable scenarios i
 nvolving 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 mistake
 s to avoid? A key to data governance and data quality is to understand the 
 personal, cultural, and political environment and to consciously employ bes
 t practices regarding the human element that is involved. The most effectiv
 e enterprise-wide data governance and data quality efforts usually share on
 e 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.\nThis presentation will share pri
 nciples, techniques, and exercises to help tackle these common scenarios an
 d to understand and move toward an environment that enables data governance
  and data quality. It will provide stories of successful and unsuccessful e
 fforts, illustrating why some programs succeed and others fail, as well as 
 what we can do to avoid pitfalls.\nYou will learn:\n\n
 Political and cultural factors that are key to data governance and data qua
 lity programs\n
 Common situations that are bound to occur in data governance and data quali
 ty programs and for which we need to be prepared in order to be successful\
 n
 How to effectively handle these Inevitable scenarios and situations that ar
 e bound to occur\n
 Tools and principles to enable data governance and data quality, such as ke
 ys in understanding motivations, facilitating a common vision, developing t
 rust, and managing conflict\n
 Real-life stories of how culture and politics either blocked or fostered su
 ccess\n\n
DTSTART:20201208T084000
SUMMARY:Mastering the Human Side of Data Governance and Data Quality
DTEND:20201208T091959
LOCATION: See Description
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