Proactive Data Governance Organisation

From MIKE2.0 Methodology

-> You are here: Proactive Data Governance Organisation

A Proactive Data Governance Organisation is focused across projects, servicing inter-related projects as part of a large programme or multiple information-centric initiatives.

Characteristics

The defining characteristics of a Proactive Data Governance Organisation is that it is focused on addressing issues before they occur through Continuous Improvement, Ongoing Monitoring and Root Cause Analysis. The organisation is typically quite knowledgeable about issues in the current-state. The future-state for this organisation is reasonably well-defined at a programme level although there may be some unknowns or leveling issues.

From a technology perspective, these organisations have a well-implemented set of Foundation Capabilities for Information Development and Foundation Capabilities for Infrastructure Development. Their technology vision typically sees them moving to advanced capabilities such as Services Oriented Architecture as part of a model of Continuous Improvement but they may be in the early stages of moving in this direction.

Organisational Model

The Organisational Model for the Proactive Data Governance Organisation has 3 major sets of roles and responsibilities at the leadership level:

Steering Committee - provides overall guidance and direction
Data Governance Council - operational leadership and key delivery roles
Delivery Team - design, delivery and ongoing operation of the project

A Proactive Organisation for Data Governance

Within this model, the Data Governance Organisation is still typically small that individuals may not be playing dedicated roles.

Roles and Responsibilities

The key roles and their responsibilities for the Data Governance Organisation are shown below.

Data Governance Council

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.

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 Steward	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

Delivery Team

The Delivery Team provides the "hands on" implementation roles on the project. The Delivery Team provides the main implementation roles on the project during the Continuous Implementation Phases. They work under the direction of the Data Governance Council, most of who also have direct roles on the Delivery Team.

As part of a Proactive, delivery team members look to make improvement to the environment through root-cause analysis and refactoring of existing software.

Role	Responsibilities for this Organisation Model	Time Commitment
Technical Analyst	Technical Analysts are members of existing project teams that are assigned to the DQM project when specific activities in their project areas are impacted. They provide the technical expertise required to implement new tools or to improve existing systems.	Full time
Business Analyst	Business Analysts are members of the existing Business Units that are assigned to the DQM project when specific activities in their business areas are impacted. They provide the business expertise required to define the usage of key data elements and to improve business processes.	Full time
Data Quality Analyst	Data Quality Analysts are fully dedicated to the DQM project. Their responsibility is to provide expertise on quality improvement best practices and to perform auditing to ensure projects are complying with data quality management processes and standards.	Full time
Data Owner	Data Owners are responsibility for the accuracy of the data in their area of responsibility. For credit-related data, the Account Officers are the data owners. Ideally the data owners would have a single interface into the source systems where key data elements reside.	Full time

Within this model, individuals may play multiple roles. For example Data Stewards may play a leadership role and help out in an operational fashion.