More from this series:
- Data Strategy in Action: Using AI to Build a Foundation for Enterprise Data Governance Success
- Data-Ed Webinar: Mastering Data Modeling – Understanding Conceptual, Logical, and Physical Models
- Data-Ed Webinar: Implementing Effective Data Governance – A Practical Guide
- Data-Ed Webinar: Reference Data vs. Master Data Management
- Data-Ed Webinar: The Roles of Data Stewards
- Data-Ed Webinar: Data Modeling/AI Essentials
About the Webinar
The first step toward improving data asset value is mastering organizational data leveraging capabilities. Improving your metadata practices effectively focuses on data leveraging strategies:
- To best understand data value, realize that metadata is a gerund – do not treat it as a noun
- Practice the concept that metadata is the language of data governance
- Treat glossaries/repositories as capabilities – not technology
- Build metadata practices from existing starter kits/building blocks
Metadata – literally, data about data – is a practice area required by all organizations. Understanding metadata and its associated technologies as more than just straightforward tools can provide powerful insight into the efficiency of organizational practices and enable you to combine them into sophisticated techniques supporting larger and more complex business initiatives more effectively.
Program learning objectives include:
- Applying foundational metadata concepts
- Understanding how to leverage metadata practices in support of business strategy
- Approaching metadata technology investments cautiously
About the Speakers
Peter Aiken, Ph.D. is an acknowledged Data Management authority, an associate professor at Virginia Commonwealth University, president of DAMA International, and associate director of the MIT International Society of Chief Data Officers. For more than 40 years, Peter has learned from working with hundreds of Data Management practices in more than 30 countries. Among his 13 books are the first on making the case for data leadership (CDOs), the first focusing on data monetization and modern strategic data thinking, and the first to objectively specify what it means to be data-literate. International recognition has resulted from these and a (pre-Covid-19) intensive worldwide events schedule. Peter also hosts the longest-running Data Management webinar series on dataversity.net. Before Google, before data was big, and before Data Science, Peter founded several organizations that have helped more than 200 businesses leverage data – specific savings have been measured at more than $1.5 billion. His latest venture is Anything Awesome.
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