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DTSTAMP:20260422T231507Z
DESCRIPTION:Click for Latest Location Information: http://dgiq2022west.data
 versity.net/sessionPop.cfm?confid=148&proposalid=13685\nOver the past few y
 ears, there has been a dramatic shift in focus in information technology, f
 rom the technology to the information. Organizations are now beginning to r
 ealize that their competitiveness will be based on their data, not just on 
 technology, and that their data and information are among their most import
 ant assets. In this new data-driven environment, companies are in
 creasingly utilizing analytical techniques to draw meaningful conclusi
 ons from data. However, the garbage-in-garbage-out rule still applies, so t
 he Data Quality aspect becomes even more important.\nI will be talking abou
 t the DAIC approach derived from Six Sigma methodologies to help improve th
 e level of Data Quality effectiveness and efficiency in any organization. T
 his four-phase DAIC approach (Define, Assess, Improve, and Control) carries
  out Data Quality programs in a systematic way, right from initial pla
 nning to complete implementation.\n
DTSTART:20220606T133000
SUMMARY:T10: Building Data Quality Programs with the Six Sigma Approach
DTEND:20220606T164459
LOCATION: See Description
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