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DESCRIPTION:Click for Latest Location Information: http://edw2022.dataversi
 ty.net/sessionPop.cfm?confid=129&proposalid=13242\nMaster Data Management (
 MDM) is key for the success of any company that uses data for any purpose. 
 The harmony, quality, and governance around key business entities are criti
 cal for the success of any data strategy.\nMany companies struggle with def
 ining the need and scope of MDM programs. Getting business alignment, 
 funding, prioritization, and above all measuring return on investment once 
 MDM is live are additional challenges that are faced.  \nThis presenta
 tion will focus on applying the best Product Management practices that are 
 long-term tested in the software product world to spinning up and then
  managing a Master Data Management platform as a product. The focus is thus
  not just on implementation, but on business value and engagement. This pre
 sentation covers the best practices and pitfalls to avoid those learne
 d from live implementation in the Life Sciences industry. This framework&nb
 sp;can be easily applied and extrapolated to any industry/company that eith
 er wants to spin up or pace up their MDM program.\nPresentation Outline\n\n
 Validating the Need\n	Engaging Stakeholders\n
 Defining Vision, Mission, Scope\n	Starting Small while Aiming Big\n
 Leveraging Data Stewardship\n	Iterative Learning, Delivery & Value\n
 Measuring Success/Failures\n
 Advanced Topics – Value of AI/ML application MDM\n
DTSTART:20220323T104500
SUMMARY:Managing a Master Data Management Platform as a Product
DTEND:20220323T114459
LOCATION: See Description
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