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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2025.data
 versity.net/sessionPop.cfm?confid=164&proposalid=16057\nWhile major system 
 replacements come with a number of risks, the quality of data converted fro
 m a legacy system to a new system plays a critical role in the ultimate suc
 cess or failure of the project. How does a Chief Information Officer (CIO) 
 know if data is of sufficient quality as the project heads toward the Go Li
 ve? What data quality insights should be collected, and how are they used t
 o manage the project?\n\nIn this presentation, Steve Munson, Chief Inf
 ormation Officer at American University, and C. Lwanga Yonke, Founder and P
 resident, Padouk Consulting, LLC, will share best practices for eliminating
  data quality risks from IT projects. The presentation draws from a re
 cent American University’s ERP implementation whose success was enabl
 ed by a rigorous focus on data quality, and from a variety of other project
 s. Topics include:\n\n
 Mitigating the risks associated with poor data quality\n
 Developing a data quality measurement and improvement plan\n
 Benefits of a structured focus on data quality for major system replacement
 s or other digital transformation projects\n\n
DTSTART:20250506T101500
SUMMARY:Eliminating Data Quality Risks From Your Next Major Project
DTEND:20250506T105959
LOCATION: See Description
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