Open Framework, Information Management Strategy & Collaborative Governance | Data & Social Methodology - MIKE2.0 Methodology
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Data Governance Council Deliverable Template

From MIKE2.0 Methodology

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This article is currently Under Construction. It is undergoing major changes as it is in the early stages of development. Users should help contribute to this article to get it to the point where is ready for a Peer Review.
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.

Overview

The Data Governance Council will help develop and monitor the overall plan for improving Data Governance. The Data Governance Council provides operational leadership on the project, by dealing with issues as they arise and providing proactive solutions to resolving potential problems. Some individuals on the group (such as the Executive Sponsor) may not be involved on a daily basis, but all are dedicated enough to the project that it is their primary focus.

Data Stewards play a key role on the Council as the caretakers of information and are responsible for driving its improvement. The role of Data Stewards overlaps into the Delivery Team.

Example Data Governance Council

Shown below is the model for a simple Data Governance Council, defining roles, responsibilities and effort to be dedicated to this activity.

Role Responsibilities for this Organisation Model Time Commitment
Executive Sponsor
  • Sets initial direction and goals for the program.
  • In an ongoing basis, the Executive Sponsor approves information policy and tracks the progress of quality initiatives compared to target plan.
  • Full time
Data Strategy & Queue Management (DSQ) Lead
  • The DSQ has responsibility for developing Data Quality strategy and policies, as well as leadership and supervision for the overall program.
  • Additional responsibilities include approval of identified business process improvements and the communication plan.
  • Full time
Data Quality Leader (DQL)
  • The DQL provides day to day leadership over the DQM program.
  • The DQL has significant DQM expertise and is deeply involved in all aspects of the program while also participating in the DQM Executive Steering Committee (which includes considerably approval responsibility).
  • The DQL is also responsible for managing business process improvement and the communication plan.
  • Full time
Data Stewards
  • Data stewards act as the conduit between IT and the business and accept accountability for data definition, data management process definition, and information quality levels for specific data subject areas.
  • Data stewardship involves taking responsibility for data elements for their end-to-end usage across the enterprise.
  • Full time
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