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DTSTAMP:20260511T173323Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2022east.data
 versity.net/sessionPop.cfm?confid=151&proposalid=14012\nBecause organizatio
 ns have so much data and improving their quality is perceived as a herculea
 n task, it is very easy for people within an organization to want to avoid 
 the problem altogether. Denial comes in several forms -- from straightforwa
 rd refusal to acknowledge issues to scientific skepticism about addres
 sing them. This talk will describe how to identify the types of data q
 uality deniers and what any organization facing data quality issues ca
 n learn from them. It will also address how to get beyond denial to a place
  where organizations improve the quality of their data to more effectively 
 leverage its value.\n
DTSTART:20221206T164500
SUMMARY:Data Quality Deniers and What We Learn from Them
DTEND:20221206T172959
LOCATION: See Description
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