Data Governance Metrics

From MIKE2.0 Methodology

Activity: Data Governance Metrics

Objective

Data Governance Metrics provide the information quality objectives that the organisation plans to achieve. Just like other business performance measures, metrics should be managed and tracked at the executive level. Metrics are created by either executives or data stewards with input from data analysts.

Each KDE is measured against the defined metric category through the appropriate measurement technique. Objective information is used for survey-based measurements whereas data profiling is used for measuring a number of categories.

Major Deliverables

• Definition of Metric Categories and Measurement Techniques
• Current-State Metrics on KDEs
• Target Metrics on KDEs

Tasks

Define Metric Categories and Measurement Techniques

Objective:

There are different type of metric categories that can be measured in varying fashions, as shown below:

This task defines each of these categories and the measurement techniques and processes that will be used for measuring each KDE. Sometimes, less tangible metrics are also assessed.

A rating scale should be defined for metrics at an aggregate level that is supported by the detail of the assessment.

Typically, organisations do not only measure along quantitative dimensions, but also include softer/intangible dimensions to justify their investment and measure success. Defining data quality KPIs requires an interplay of organisational support, governance and accountability, processes, policies and standards, as well as an overall support (either automatically or by analysis from members of the data governance team) by a set of tools. The following diagram outlines an approach to measuring data quality:

• A quantitative approach to measuring data model complexity is detailed in Small Worlds Data Transformation Measure
• Information Maturity can assessed and measured using the Information Maturity QuickScan approach.

Input:

• Enterprise Information Architecture
• KDEs

Output:

• Current-state Metric for each KDE

Gather Current-State Metrics on each KDE

Objective:

Each KDE is measured against the defined metric category through the appropriate measurement technique. Objective information is used for survey-based measurements whereas data profiling is used for measuring a number of categories. If root cause Data Governance issues come out during the current-state assessment, they should be captured at this time.

Input:

• Metric Categories and Measurement Techniques

Output:

• Current-state metric for each KDE

Define Target Metrics on each KDE

Objective:

After the current-state metrics for each KDE have been assessed, define the targets for each KDE. These should be tied to business goals and a time period for the target to be achieved. This are defined and approved by the Data Governance Team.

Input:

• Metric Categories and Measurement Techniques

Output:

• Target metric for each KDE

Core Supporting Assets

Yellow Flags

• Major gaps identified between current-state measures and target-state, when there is no a reasonable timeline to address issues

Key Resource Requirements

• Information Architect
• Business Analysts
• Data Stewards

Potential Changes to this Activity

This activity may need to be expanded with 1 - 2 tasks that relate to unstructured content to have complete coverage for information governance.