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Creating a data quality loop presentation

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Improve Data Quality using a simple mechanism which brings everybody involved in the loop

Improve Data Quality using a simple mechanism which brings everybody involved in the loop

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Creating a data quality loop presentation Creating a data quality loop presentation Presentation Transcript

  • Creating A Data Quality Loop Using data quality indicators in your (ad-hoc) reports. Initiate end-user conversations, use IT effectively, to aim for accurate data
  • Anna - Confronted withPlummeting sales caused byincorrect data
  • Data-entry has different prioritiesSysadmin had togive up on him View slide
  • Insanely Busy .. LTDWhere is Anna? Where is Bert? How can they know of each others existence anyway? Sales and more View slide
  • Information manager finds a way to bridge the gap
  • Data quality indicators : indicate suspect data in reports
  • Indicators placed on top of the reportrequested: one or more critical valuesindicate the report outcome is suspect Sales transaction <0 means negative sales Indicator pointer is relatively related to amount in graph, a % boundary determines whether it is critical
  • Information consumer can easily drill- down within the indicator
  • And eventually drillthrough to theoperational system..and start a conversation
  • CONCLUSION IT is a middleman to realize DQ-indicators instead of middleman of each DQ -incident Business is watchdog and keeps the conversation and cleansing going
  • HOW TO ESTABLISH? Functional analysis with business IT Implements Indicators When DQ let end-users have the conversation using the drilldown So they can cleanse and improve at the source instead of within a black-box like DWH
  • Coming soon on IntelliFlexBI channel : Tech Session - creating versatile DQ-indicators See my vizify bio! IntelliFlex johan@intelliflex.info