Data Management Foundation
Status | Live |
Estimated time | 6-8 hours (1 day) |
Prerequisites | Data Driven Foundation (Highly Recommended) |
Next steps | AI or BI learning paths FAIR or Linked Data learning paths |
Data Management Foundation helps you to understand the key components of Data Management, develop a Data Strategy and an implementation plan for your organisation. The approach describes the Data Management components needed to operate as a Data Driven Leader and achieve success in our data driven world. This aims to elevate your data management capability enabling your organisation to manage data as a critical factor for business success.
Our Data Management approach includes and goes beyond generic process-based approaches such as DAMA DMBOK2 or FAIR by including specific recommendations to manage data as a source of competitive advantage:
- Enabling Data usage by both Humans and Machines,
- Managing digital twins across an ecosystem and between business partners
- Generating digital assets from data that change the competitive position of your organisation
- Selecting infrastructure and vendors including cloud services
- Preparing your data to compete in ecosystems including developments such as tokenisation, Web3 and Metaverse
The learning objectives are:
- Understand why data is important today and why companies struggle with it
- Attain fundamental literacy around the key concepts of ‘data’ and ‘big data’ and ‘data management’
- Learn how to manage data to enable value creation with the data
- Discover the Data Driven Leader’s approach to managing data
- Develop your own data strategy (individually or as a team)
- Choose the infrastructure and vendors you need to operate as a Data Leader
- Implement data management in your organisation
- Assess and continually enhance your data management maturity
The course refers to many external sources including DAMA DMBOK2, FAIR and Linked Data and other relevant Frameworks and Standards.