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DESCRIPTION:Click for Latest Location Information: http://dgiq2023west.data
 versity.net/sessionPop.cfm?confid=152&proposalid=14291\nAs a 175-year-old s
 uccessful global technology leader, Zeiss owns very large and constantly gr
 owing data volumes. Its Data & Analytics unit was created to suppo
 rt the company’s ambition to advance data as a strategic asset and be
 come a hyper-intelligent data-driven organization. The mission of the Enter
 prise Data Quality team within this unit is to lay the foundation for trust
 ed high-quality data and ensure that it is consistently measured, assessed,
  and monitored against business expectations.\n \nThe case study bring
 s forward first-hand experience and learnings from initiating a program to 
 supporting the rollout of a centralized data quality toolkit and governance
  framework across a large organization, including:\n\n
 Why build a data quality toolkit in-house instead of buying from a ven
 dor\n
 How to profile large volumes of structured and unstructured data from devic
 e logs in near-real-time\n
 How to create a data quality governance framework from scratch\n
 How to define a quality onboarding process in a data mesh environment\n
 How to create and monitor qualitative and quantitative indicators to demons
 trate the value and success of the program\n\n
DTSTART:20230605T170000
SUMMARY:Pioneering Governed Data Quality
DTEND:20230605T174459
LOCATION: See Description
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