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DTSTAMP:20260617T193405Z
DESCRIPTION:Click for Latest Location Information: http://edw2021.dataversi
 ty.net/sessionPop.cfm?confid=133&proposalid=12667\nBusiness has a fundament
 al problem with data quality. In some places it’s merely painful, in 
 others it’s near catastrophic. Why is the problem so widespread? Why 
 does it never seem to get fixed? Maybe we’ve been thinking about the 
 problem wrong. Time for a fresh look.\nPerhaps the central flaw in the long
 -running discussion over data quality is literally its focus on "data.
 " Stored data is merely the system or database residue of things that 
 have already happened in the business, a memory of past events.\nTo truly f
 ix "data quality" problems requires a shift in focus away fr
 om the health of data stores, and toward the business activity that results
  in the data. And there can be no data quality without clarity in business 
 communication. This presentation reveals the underlying fallacy of data qua
 lity dimensions and introduces four dimensions of communication clarity wit
 h numerous examples to illustrate.  \nOur learning objectives:\n\n
 Data quality vs. communication clarity\n
 Why data should no longer be considered separately from knowledge\n
 A common business language\n
 Concept models and business knowledge blueprints\n
 Where business rules fit in\n\n
DTSTART:20210422T104500
SUMMARY:Is the Problem with Data Quality Really Data? The Four Dimensions o
 f Communication Clarity
DTEND:20210422T114459
LOCATION: See Description
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