Data Observability - What Is It and Why Is It Important?

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. 

Topics to be covered include: 

• 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

Speaker: Mike Ferguson

Mike Ferguson is the Managing Director of Intelligent Business Strategies. An independent IT industry analyst, he specializes in Data Management,  analytics, big data, and enterprise architecture. With over 40 years of experience, Mike has consulted for dozens of companies on BI/Analytics, data strategy, technology selection, enterprise architecture, and Data Management. Mike is also conference chairman of Big Data LDN, the largest data and analytics conference in Europe, and a member of the EDMCouncil CDMC executive advisory board. He has spoken at events all over the world and written numerous articles. He was formerly a principal and co-founder of Codd and Date – the inventors of the Relational Model, and a Chief Architect at Teradata. He teaches classes in: Data Warehouse Modernization, Big Data Architecture & Technology, Centralized Data Governance of a Distributed Data Landscape, Practical Guidelines for Implementing a Data Mesh, Embedded Analytics, Intelligent Apps & AI Automation, Migrating your Data Warehouse to the Cloud, Modern Data Architecture, and Data Virtualization.