Reactive Data Governance Organisation

From MIKE2 Methodology

Contents 1 Characteristics 2 Organisational Model 3 Roles and Responsibilities 3.1 Governance Stakeholders 3.2 Governance Working Group

Characteristics

A Reactive Data Governance Organisation is focused on a project-basis. The data governance structure for projects should be established so that key individuals who are required to oversee the data environment for the project have visibility to critical data issues and can focus resources on the effective resolution of those issues. The governance team should be divided into two stakeholder groups: one that is a “working group” and is responsible for the day-to-day management of the data environment and another that is an overall team that provides high-level guidance and issue management oversight. The Working Group is comprised of manager-level project resources, while the Governance Team includes executive sponsors and source system managers.

While it is unreasonable to expect executive project sponsors and legacy source system managers to be across every low-level data quality issue for the project, it will be critical that these individuals are able to be engaged for specific, critical issue escalation and resolution, and are able to maintain an overall understanding of the status of the data environments.

Organisational Model

This Organisational Model is typically established as part of an initial project implementation and will stay in place once the solution is operationalised into production. The implementation team will have interfaces into other support groups within the organisation to maintain the production system and deal with issues as they arise.

This is a minimum team structure that should be used for data governance on any project. The example model shows this data governance structure for a Data Warehouse implementation, where the core focus is for risk management.

Roles and Responsibilities

This is a minimum team structure that should be used for data governance on any project. The example model shows this data governance structure for a Data Warehouse implementation, where the core focus is for risk management.

Governance Stakeholders

Governance Stakeholders are informed about the progress of the project and act as intermediaries in the event of a major issue. Typical roles and responsibilities include:

Role	Responsibilities for this Organisation Model	Time Commitment
Executive Sponsor	Strategic oversight of programme and related data issues Sponsorship of business cases for remediation efforts	Full time
Legacy System Manager	Ownership of legacy system-specific issue resolution. Resolutions are largely tactical, focused on fixing historical data. Provision of system SMEs for issue remediation	Full time

Governance Working Group

The Governance Working Group is made up of members that are directly associated with the delivery of the project. Thees team members act as the direct interface with the Stakeholder group.

Role	Responsibilities for this Organisation Model	Time Commitment
Programme Manager	Management of issue escalations to business executives and source system owners Provision of resources for issue verification and remediation	Full time
IT Coordinator	Overall guidance for technical issue resolution Ensures remediation efforts align with overall data asset architecture Management of internal trouble ticket process for source system remediation	Full time
Data Modeling Team Rep	Overall guidance for issue prioritisation and functional resolution Provision of risk modeling SMEs for data issue management	Full time
Data Asset Delivery Manager	Management level oversight of data environment, data cleansing activities and deployment Provision of technical data resources Management responsibility for technical deliverables	Full time
Data Quality Manager	Definition of the overall approach for short and long term DQ activities Identification and management of critical DQ issues Coordination of DQ resources Oversight of the execution of DQ testing and reporting	Full time

The behavior of the Governance Working Group is the key factor in determing whether an organation can move from being Reactive, to a Proactive Data Governance Organisation. When this team is able to put in policies of Continuous Improvement, Ongoing Monitoring and Root Cause Analysis, the organisation can become proactive.