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 with
Plummeting sales caused by
incorrect data
Data-entry has different priorities




Sysadmin had to
give up on him
Insanely Busy .. LTD
Where is Anna? Where is Bert? How can they know of each others existence anyway?




                                                           Sales and more
Information manager finds a way to bridge
                the gap
Data quality indicators : indicate suspect
             data in reports
Indicators placed on top of the report
requested: one or more critical values
indicate 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 the
operational 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

Creating a data quality loop presentation

  • 1.
    Creating A DataQuality Loop Using data quality indicators in your (ad-hoc) reports. Initiate end-user conversations, use IT effectively, to aim for accurate data
  • 2.
    Anna - Confrontedwith Plummeting sales caused by incorrect data
  • 3.
    Data-entry has differentpriorities Sysadmin had to give up on him
  • 4.
    Insanely Busy ..LTD Where is Anna? Where is Bert? How can they know of each others existence anyway? Sales and more
  • 5.
    Information manager findsa way to bridge the gap
  • 6.
    Data quality indicators: indicate suspect data in reports
  • 7.
    Indicators placed ontop of the report requested: one or more critical values indicate 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
  • 8.
    Information consumer caneasily drill- down within the indicator
  • 9.
    And eventually drillthroughto the operational system..and start a conversation
  • 10.
    CONCLUSION IT isa middleman to realize DQ-indicators instead of middleman of each DQ -incident Business is watchdog and keeps the conversation and cleansing going
  • 11.
    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
  • 12.
    Coming soon onIntelliFlexBI channel : Tech Session - creating versatile DQ-indicators See my vizify bio! IntelliFlex johan@intelliflex.info