DGIQ-E23: Data Governance in The Data Intelligence Platform

**This is Subscription-Only Content, It is NOT purchasable as a separate product**

How can enterprises build a “house of data” to drive self-service analytics that delivers business results? What materials should they call upon? For many, it is a hodgepodge of different tools, data silos, and varying sources of truth, with no firm foundation. 

In this session, Dr. James Barker will discuss how a data intelligence platform provides a strong foundation for both self-service analytics and data governance.  With it, you can provide trusted, well-governed data to the right people, at the right time, to make the right decisions.

Learn how to leverage a data intelligence platform to build a strong foundation for your house of data.

This session will cover topics such as:

  • The main building blocks of a solid data program, including glossaries, collaboration, analytics, and the role of policies and policy management in data governance.

  • The importance of bringing together data management, data governance, and data quality for data governance.

  • The application of a data intelligence platform for data security, privacy, DataOps, and data enablement

Speaker: Jim Barker

Director, Professional Services, Data Strategy, Alation

Jim Barker is the Director of Professional Services, Data Strategy at Alation. In his 30+ years in Industry, Jim has worked in a variety of data management disciplines, most notably as the Director of Data Management for Honeywell, Data Warehouse Architect at Thomson-Reuters, and the Director of Solutions at both Informatica and nCloudIntegrators. He also led an award-winning team that rolled out SAP worldwide at Honeywell, which included SaaS integration, the introduction of a Data Governance Council, and many innovations in alignment with Honeywell's Velocity Product Release Program. Jim's academic involvement included writing a dissertation on Data Governance and the development of both a conceptual framework for data governance and leveraging the concept of DataOps in 2009.

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