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DTSTAMP:20260514T071940Z
DESCRIPTION:Click for Latest Location Information: http://edw2021.dataversi
 ty.net/sessionPop.cfm?confid=133&proposalid=12698\nHaving technical debt in
  the foundation data models of enterprise processes is an all-too-common bu
 rden. When adding new components into data models it is essential to i
 dentify and avoid common pitfalls. Supporting recursive process review step
 s and associated document attachments is particularly error-prone. Mod
 ern low-code business process development tools make it easy for individual
  engineers to paint themselves into a corner with evolving data models. Agi
 le development emphasizes business functional capabilities and can overlook
  data limitations. Retroactive regulatory reporting and audit support 
 can be particularly troublesome.\nThis session will include: \n\n
 An examination of typical business process patterns with good and bad 
 data model constructs to support them\n
 Case studies presented to illustrate the techniques and lessons learned alo
 ng with example tools and tutorial materials\n
 Sensible guidelines and road-maps which can be established for the dev
 elopment delivery cycles, to ensure that data models built are consistent a
 nd support the business process needs.\n\n
DTSTART:20210421T144000
SUMMARY:Designing Data Models for Digital Transformation
DTEND:20210421T152959
LOCATION: See Description
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