Open Framework, Information Management Strategy & Collaborative Governance | Data & Social Methodology - MIKE2.0 Methodology
Wiki Home
Collapse Expand Close

Collapse Expand Close

To join, please contact us.

Improve MIKE 2.0
Collapse Expand Close
Need somewhere to start? How about the most wanted pages; or the pages we know need more work; or even the stub that somebody else has started, but hasn't been able to finish. Or create a ticket for any issues you have found.

Information Management Orientation Programme Deliverable Template

From MIKE2.0 Methodology

Jump to: navigation, search
Under review.png
This article is a stub. It is currently undergoing major changes as it is in the very early stages of development and is only a placeholder. Please help improve MIKE2.0 by adding to this article.
This deliverable template is used to describe a sample of the MIKE2.0 Methodology (typically at a task level). More templates are now being added to MIKE2.0 as this has been a frequently requested aspect of the methodology. Contributors are strongly encouraged to assist in this effort.
Deliverable templates are illustrative as opposed to fully representative. Please help add examples to this template that are representative of the proposed output.

The Information Management Orientation Programme will consist of training that will:

  • Close major gaps in the client’s understanding
  • Reset or confirm expectations
  • Begin to get an understanding of the key information areas that are in-scope
  • Identify the expected benefits of the project initiative


Listed below is an example Orientation training topic list:

Example for an Information Management Orientation programme where the training scope covers Data Warehouse

  • Transactional vs. data warehouse structures and characteristics
  • Distinctions between data, information, and knowledge
  • Data warehouse architecture vs. transactional architectures
  • Data warehouse technical architecture components
  • The role of metadata
  • Role of Operational Data Stores in the informational environment
  • Data warehouse design considerations
  • Iterative nature of the data warehouse
Wiki Contributors
Collapse Expand Close