Data Observability – A Catalyst for AI-Driven Real-time Data Governance Automation

This session looks at the emergence of Data Observability and looks at what it is about, what Data Observability can observe, vendors in the market and examples of what vendors are capturing about data.  The presentation will also look at Data Observability requirements, the strengths and weaknesses of current offerings, where the gaps are and tool complexity (overlaps, inability to share metadata) from a customer perspective. It will explore the link between Data Observability, data catalogs, data intelligence and the move towards augmented data governance and discuss how Data Observability and data intelligence can be used in a real-time automated Data Governance Action Framework to govern data across multiple tools and data stores in next generation Data governance.  

  • What’s happening with data in business today and why there may be problems ahead
  • Requirements to avoid problems and strengthen data governance
  • What is data observability and what is it trying to help you do?
  • What is it that can be observed?
  • The data observability process – what are the steps and how does it work?
  • Vendors in the market and what they are capturing
  • The link between data observability and data catalogs
  • Data observability, prescriptive analytics, and real-time automated data governance



Implementierung einer zentralen Datenplattform bei CHRIST – Herausforderungen, Best Practices und Learnings


Was sind die Learnings aus einem Projekt dieser Größenordnung? Welche Rolle spielen die Menschen und die Organisation? Begleiten Sie mich auf einer Reise durch die Implementierung einer zentralen Datenplattform und erfahren Sie, wie wir agile Projektmethoden nutzen, um für die User das bestmögliche Ergebnis zu erarbeiten.