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

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The Data Governance Team (DGT) creates and enforcing policies related to Information Management (IM) throughout the organisation. It is important to note that the DGT does not own the data. Rather, for the DGT to be effective, it must work closely with all Data Owners to define and establish how information should be treated within--and throughout--the organisation. The ultimate goal is to develop and implement policies that equally support all information Subject Areas.

Members of the DGT require understanding of important information concepts. However, the team nor its members do not necessarily need to possess the following:

  • a deep technical background in data manipulation or analysis
  • a deep functional understanding of the organisation's applications--and the businesses processes that support them.

The DGT can be best thought of as a liaison and, as such, the ability to communicate with business and IT stakeholders alike is essential.

To ensure that executive support is obtained and retained, the leadership of the DGT must be comfortable interacting at the CXO level.

A number of sample Organisational Models can be applied as part of a project.

When to establish a Data Governance Team

The Data Governance Team has a valid role in the day-to-day management of an organisations information assets through activities such as:

  • Defining data terminology
  • Defining data-related business rules
  • Developing and managing standards for data quality
  • Guiding, monitoring and managing data quality improvement activities

Notwithstanding these day to day activities, it can be beneficial to establish or extend the Data Governance Team in the context of significant projects or data-related business issues, since this provides a more immediate and evident basis for action.

Characteristics of Data Governance Team Members

Data Governance Teams size and level of accountability are all subject to the needs of an organisation; however as a general guideline, input from people in the following roles is typical when establishing a Data Governance Team:

  • Business & IT Data Quality Owners – dictate what is the acceptable Data Quality standard across an organisation
  • Go/No Go decision makers – make final call on any new application drops or data migrations
  • DQ Issue (Inclusion/Exclusion) Owners – control the in and outs of any migration event
  • Application owners – understand the controls in place to maintain data quality and facilitate any required changes to applications resulting in increased data integrity

Effective Data Governance Teams

An effective Data Governance Team focuses on remediation, in the process, minimes the impact of data quality, integration, and management issues. Because of the far-reaching ramifications of many of these issues, an effective team requires equal input from both technical and business perspectives. Collaboration among different parties is essential, lest organisations fall into traditional silos. Joint responsibility is essential; reverting to blame and petty organisational politics will likely derail the best of intentions.

Access to a profiling team who can identify and quantify problems empowers a Data Governance Team to make decisions. The Team should be made up of knowledgeable individuals who can

  • verify the extent of a problem based on a customer’s products and services
  • identify potentially unanticipated downstream effects
  • fix the problem
  • prevent its recurrence (read: learn from mistakes)

A remediation team, authorized by the Data Governance Team, can carry out the required application changes or data cleanses.

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