NOTE: This 2-day seminar continues through Friday.

Metadata is foundational to all data work and should be a top priority of a data governance program. Without an understanding of what data means, where it comes from, or how it’s classified, it’s virtually impossible to extract data’s full value. Data catalogs provide an innovative solution for powering data intelligence and metadata management with governance at the core. 

But investing in a catalog tool is only a first step. Optimized value can only be fulfilled when it's embedded into "business-as-usual" processes of how users work on a daily basis, creating a sustainable need and trust in the catalog as opposed to just knowing it is one of many tools available.

In this two-day seminar, instructors Becky Lyons and Gretchen Burnham provide an in-depth exploration of the critical key elements that organizations need to implement data catalogs and business glossaries. The seminar is intended for business and IT professionals at all levels who have been tasked with investigating or implementing a data catalog or business glossary on behalf of their organization. It does assume general business knowledge but not specific technical knowledge or experience. It is appropriate for executives, departmental and/or project managers, data and enterprise architects, consultants, and technical staff. The course is not designed for any specific business domain, and as such is applicable to any business function that is in need of more reliable information, such as finance, manufacturing, human resources, analytics, operations, and more.

Course Outline

Learn how to bridge the gap between tool implementation and adoption with best practice tips and vetted approaches for:

• Establishing the catalog as the foundation of agile and collaborative data governance efforts
• Focusing on the value case(s) to align tool capabilities with key business objectives
• Leveraging the catalog and glossary to improve trust and transparency in data
• Engaging the right people at the right time and making training meaningful and accessible
• Creating, curating, and managing quality content to ensure accuracy and relevance are maintained over time
• Establishing a foundational structure to enable data governance through operating models, processes, communities, workflows, etc.
• Resolving data definition conflicts and recognizing the differences between a data catalog vs. a business glossary
• Measuring impact and progress of your adoption
• Aligning adoption with change management strategies to manage resistance and deliver continuous business value