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

Members
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.

Communications Model for Data Governance Team Deliverable Template

From MIKE2.0 Methodology

Share/Save/Bookmark
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.

Communications and Awareness in the Communications Model for Data Governance team involves the following steps:

  • Definition of a Communications Plan for communicating at multiple levels, including identification of the available communication methods or tools
  • Analysis of key stakeholders to be targeted for communication and training activities
  • Assembly of Data Governance standards, policies, and processes in a fashion that can be clearly understood
  • Identifying how stakeholders will access the standards, policies, and processes
  • Definition of a training plan and schedule
  • Development of the required training materials to support the Data Governance programme
  • Execution of training
  • Definition of Data Governance performance metrics, by role
  • Alignment of employee goals and performance objectives with the Data Governance programme and performance metrics

= Example of a Communications Model for Data Governance team

Principles, Policies and Standards

Data Principles - Owner: New Board

  • Data is an Asset - data is an asset that has value to the enterprise and is managed accordingly
  • Data is Shared - users have access to the data necessary to perform their duties; therefore, data is shared across Enterprise functions and organizations
  • Data is Accessible - data is accessible for users to perform their functions
  • Data Trustee - each data element has a trustee accountable for data quality
  • Common Vocabulary and Data Definitions - data is defined consistently throughout the Enterprise, and the definitions are understandable and available to all users
  • Data Security - Data is protected from unauthorized use and disclosure.



Policies – Owner: New Board

Policy Description Next Step
Data Security This policy identifies the security access required for key data across user groups.
  • Review of groups with access to modify/delete master data
  • Review of groups with access to extract data for reporting
Data Audit This policy identifies the logging required for changes to key data.
  • Review of audit trail requirements for data update (to complement security policy)
Data Retention This policy identifies the minimum data retention requirements.
  • Review of data retention requirements for key data subject areas
Master Data This policy identifies where master data resides and how master data is handled.
  • Establish policy for ownership and maintenance of master data for key data subject areas
  • This is required as an input to the data management process review.
Metadata This policy covers enforcement of metadata capture and maintenance
  • Confirm ownership of this policy as the BI team and define this policy
Reference Data This policy governs the ownership of development and capture of shared reference data
  • Confirm ownership of this policy as the BI team and define this policy
Data Quality This policy defines the strategic and operational direction for data quality management and improvement
  • Establish current and target data quality position based on business requirements


Standards - Owner: New Board

Data Standard Description Next Step
Data Specification Standards These govern the definition of data, including minimum data interface standards.
  • Confirm owner for this standard and required scope
Data Modelling Standards These provide a set of guidelines that should be followed for modeling data in operational or information systems
  • Confirm owner for this standard
Data Capture Standards These govern the acquisition and update of data by operational staff
  • Confirm owner for this standard
Data Security Standards These should be established to provide protection against unauthorized access and usage
  • Confirm owner for this standard
Data Reporting Standards These are the baseline standards for end-user data in the reporting environment
  • Confirm owner for this standard

Communication - Meetings

Communication Tool Description Audience Frequency
Data Governance Board Meeting to discuss key deliverables, issues and on-going activities. Data Governance Board Monthly, or as required
Data Quality Review Meeting to review the findings of each data quality assessment and next steps associated with resolving key issues. Working Group(s) Monthly, or as required
Data Critical Issue Meeting Discussion of Severity 1 issues status and plan for resolution. SWAT team of required individuals – to be determined based on issue. As Required
BI Team Meetings Regular meeting for BI team. Key data quality issues and status should be raised at this meeting. BI Team TBC


Communication - Reports

Communication Tool Description Audience Frequency
Data Quality Assessment Report Report that outlines findings on the data quality of source system extracts. Data Governance working group Quarterly, or as required
Data Issue Log A tool that captures the detail of data issues and is used to communicate and manage issues through the issue management process. Project(s) and Working Group(s) Weekly, or as required
Data Test Reports Report that indicates the quality (good and bad) of data provided in source system extracts. Data Governance working group Ongoing – as required
Data Acceptance Report Final report that outlines the overall quality of data as moved into target environment. Project(s) and Working Group(s) One-off per implementation
Meeting Minutes Minutes (including decisions and agreed action) from meetings Meeting attendees and interested parties Ongoing – as required
Wiki Contributors
Collapse Expand Close

View more contributors