Level: Intermediate to Advanced
Prerequisite: None
Amie Richards
Senior Manager, Technology & Experience
West Monroe
Supply chain and labor shortage issues in most industries have highlighted the need for well-defined yet adaptable asset management practices. The same goes for managing data assets. For physical assets, financial assets, technology assets, and even human capital, accepted standards regulate the handling, flow, and utilization of resources. Yet no comparable overarching set of principles and standards exists for data. Moreover, we data professionals, rather than paying homage to the way other assets are managed, have been making it up as we go, creating an obtuse vernacular that further distances us from the businesspeople we serve.
In this course, Amie Richards will show students how key concepts from the traditional world of asset and supply chain management can and should be applied to enterprise data assets.
You Will Learn
- What are the barriers to managing data as an asset, and how to overcome them
- What a set of “generally accepted information principles” should include
- How to apply the Supply Chain Operations Reference (SCOR) model, IT service management (ITSM), the PAS 55 asset management standard, and even library science standards for improved data management
- What are the components of a comprehensive information supply chain
- How the 6 Rs of sustainability can be baked into an enterprise data strategy
- What we can learn about managing data from common economic models
Geared To
- CDOs and CDAOs
- CIOs
- Vice presidents of enterprise data
- Data management directors
- Data governance managers
- Data strategists
- Chief data architects