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DTSTAMP:20260905T145446Z
DESCRIPTION:Click for Latest Location Information: http://edw2023fall.datav
 ersity.net/sessionPop.cfm?confid=157&proposalid=14610\nEffective Data Manag
 ement Professionals have always been able to straddle between the IT and bu
 siness worlds. Today, businesses continue to invest in Digital Transfo
 rmation, Automation, AI, and Analytics, with technology initiatives expandi
 ng beyond traditional tooling in Data Cleansing, MDM, Data Catalogs &h
 ellip; to take advantage of the latest data storage (e.g., lake houses), da
 ta integration (e.g., streaming events), and analytics capabilities through
  the power of open source technologies and cloud-based scale. A common
  gap: how to assess and act on data quality to ensure business objectives a
 re met and IT investments deliver value.\n\nHow do you assess if your data 
 is fit for (business) purpose? How do you have outcome-driven conversa
 tions with business stakeholders about the state of your data quality and i
 ts impact and implement proven best practices to make tactical and long-ter
 m improvements to your data? Siloes and technology-centric data q
 uality management initiatives are not sufficient.\n\nBy attending this sess
 ion, you will have:\n\n
 A deeper understanding of how data quality initiatives should be framed and
  presented to receive funding and deliver business value\n
 A proven framework to assess business data quality, determine if it is fit 
 for purpose, and communicate risks and impact\n
 Concrete, business-centric examples to help you get started \n\nThis i
 s based on proven implementation experiences across industries, company siz
 es, and geographies.\n
DTSTART:20230919T134500
SUMMARY:Outcomes-Driven Data Quality Management - Latest Best Practices
DTEND:20230919T142959
LOCATION: See Description
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