Continuous Improvement - Standards, Policies and Processes

From MIKE2 Methodology

Contents 1 Activity: Continuous Improvement - Standards, Policies and Processes 1.1 Objective 1.2 Major Deliverables 1.3 Tasks 1.3.1 Review and Revise Data Governance Policies 1.3.2 Review and Revise Data Governance Metrics 1.3.3 Review and Revise Data Governance Standards 1.3.4 Review and Revise Data Governance Processes 1.3.5 Implement Changes as Required 1.4 Core Supporting Assets 1.5 Yellow Flags 1.6 Key Resource Requirements

Activity: Continuous Improvement - Standards, Policies and Processes

Objective

This Activity provides an opportunity to improve data management standards, metrics, policies and process. Particularly in the case of standards and policies, these areas should be relatively stable, but they will undergo some level of changes over time. This Activity provides an opportunity for their review and to make recommendations on their revision. Recommended changes would then feed into the next increment of work as part of the continuous implementation approach of the MIKE2.0 Methodology.

Major Deliverables

Revisions to Data Governance:

• Policies
• Metrics
• Standards
• Processes

Tasks

Review and Revise Data Governance Policies

Objective:

Data Governance Policies are reviewed for their effectiveness. Changes to policies may be required due to new business requirements, ineffectiveness of existing policies or changes to technology. Policies do change over time, but these changes are infrequent.

Input:

• Auditing Results
• Auditing Recommendations
• Data Governance Policies

Output:

• Recommended Revisions to Data Governance Policies

Review and Revise Data Governance Metrics

Objective:

Data Governance Metrics are reviewed for their effectiveness and may be changed. The scope of metrics also is extended as more data elements are measured over time. Performance against metrics over time should tracked closely to see how changes in the environment improve metrics.

Input:

• Auditing Results
• Auditing Recommendations
• Data Governance Current-State Metrics
• Data Governance Target-State Metrics

Output:

• Recommended Revisions to Data Governance Metrics

Review and Revise Data Governance Standards

Objective:

Data Governance Standards tend to be reasonably stable but should be evaluated periodically for their effectiveness and to see if changes are required. Adherence to these standards should also be checked as part of the auditing process and the results of this process should feed into this task.

Input:

• Auditing Results
• Auditing Recommendations
• Data Standards

Output:

• Recommended Revisions to Data Standards

Review and Revise Data Governance Processes

Objective:

Data Governance Processes focus on activities and tools used across the enterprise to ensure the consistent management and modification of data as an asset across the data lifecycle. The goal should be to automate and improve many of these processes over time.

Input:

• Auditing Results
• Auditing Recommendations
• Data Governance Processes (Business Process that impact Data Governance)

Output:

• Recommended Revisions to Data Governance Processes

Implement Changes as Required

Objective:

Changes to Standards, Policies and Processes will then need to be implemented. These changes most commonly impact technology systems in areas such with data monitoring, domain values and data quality reporting.

Input:

• Recommended Revisions to Data Governance Policies
• Recommended Revisions to Data Governance Metrics
• Recommended Revisions to Data Standards
• Recommended Revisions to Data Governance Processes

Output:

• Recommended Revisions to Data Governance Policies, Metrics, Standards and Processes

Core Supporting Assets

Yellow Flags

• Major changes to approach that are not linked to clear business drivers
• Major changes to policies or standards that will impact historical data and how it is modeled, shared and stored

Key Resource Requirements

• Information Architect
• Data Stewards
• Data Owners