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DTSTAMP:20260421T222308Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2024west.data
 versity.net/sessionPop.cfm?confid=160&proposalid=15348\nThe best practices 
 of enacting a Data Quality program have extolled the virtues of traditional
  facets of completeness, consistency, reasonableness, timeliness, accuracy,
  integrity, and the list goes on. These are commonly referred to as di
 mensions of Data Quality. Over the years and even at DGIQ, I’ve 
 seen presentations on Data Quality include 14 different dimensions…1
 6 different dimensions…even up to somewhere in the 20s of different 
 dimensions! Oh my! Chick-fil-A embarked upon this path some years
  ago and encountered a number of challenges along the way.  Some of th
 ese challenges were our corporate culture, our staffing strategy, and a lac
 k of automation. \n\nIn this presentation, I will discuss these challe
 nges and how we have shifted our approach to confront and solve these issue
 s including:\n\n
 Pivot focus from dimensions of data quality to "who will solve the iss
 ue"\n	Highlight issue resolution versus issue discovery\n
 Keeping our stakeholders engaged and feeling "cared for"\n\n
DTSTART:20240604T134500
SUMMARY:The (R)Evolution of Information Quality at Chick-fil-A
DTEND:20240604T142959
LOCATION: See Description
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