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BEGIN:VEVENT
DTSTAMP:20260421T035903Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2023west.data
 versity.net/sessionPop.cfm?confid=152&proposalid=14671\nData quality approa
 ches that take too long to produce results cause cost overruns, users to lo
 se confidence, and business initiatives to fall further behind. Unless you 
 consider these five factors in relation to your data quality approach, your
  project can drag on and on until it ultimately fails. In this session, Inn
 ovative Systems will share the key reasons that data quality projects fail 
 and how the Enlighten® Data Quality Suite of products provides all the 
 capabilities you need to overcome them.\n\nYou’ll come away knowing h
 ow to: \n\n
 Significantly reduce the personnel required to achieve enterprise data qual
 ity\n	Spend far less time manually reworking data\n
 Minimize the risk of time and cost overruns\n
 Achieve data quality goals much faster\n
 Shorten time-to-market for achieving your business objectives\n\n
DTSTART:20230607T104500
SUMMARY:5 Factors That Cause Data Quality Projects to Fail (And How to Over
 come Them)
DTEND:20230607T111459
LOCATION: See Description
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