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How can you compare data governance metrics and KPIs across domains?

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Data governance metrics and KPIs are essential for measuring the effectiveness, efficiency, and maturity of your data governance program. However, comparing them across different domains, such as data quality, data security, data lineage, or data value, can be challenging. How can you ensure that you are using consistent, relevant, and meaningful indicators to evaluate and benchmark your data governance performance? In this article, we will explore some best practices and tips for comparing data governance metrics and KPIs across domains.

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1 Define your data governance goals and objectives

Before you can compare data governance metrics and KPIs across domains, you need to have a clear understanding of what you want to achieve with your data governance program. What are your strategic goals and objectives for data governance? How do they align with your business goals and objectives? How do they vary across different domains or functions? By defining your data governance goals and objectives, you can identify the key outcomes and benefits that you want to measure and monitor.

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2 Choose relevant and meaningful metrics and KPIs

Once you have defined your data governance goals and objectives, you need to select the appropriate metrics and KPIs that will help you track and evaluate your progress and performance. Metrics and KPIs should be relevant and meaningful for each domain, as well as aligned with your overall data governance goals and objectives. For example, if your data governance goal is to improve data quality, you might use metrics and KPIs such as data accuracy, completeness, consistency, timeliness, or validity for different domains. Metrics and KPIs should also be SMART: specific, measurable, achievable, realistic, and time-bound.

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3 Establish a common framework and methodology

In order to compare data governance metrics and KPIs across domains, you need a common framework and methodology that will guarantee consistency, comparability, and transparency. This should include a data governance glossary defining the terms, concepts, and standards used for metrics and KPIs, a scorecard or dashboard providing a visual representation of the metrics and KPIs with their targets, thresholds, and trends, a reporting process outlining the frequency, format, and audience of the reports, as well as a review and improvement cycle analyzing feedback and creating action plans based on the metrics and KPIs.

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4 Benchmark and learn from best practices

Comparing data governance metrics and KPIs across domains can also help you benchmark and learn from best practices in your industry or sector. By comparing your data governance performance with your peers or competitors, you can identify your strengths and weaknesses, as well as opportunities for improvement and innovation. You can also learn from the best practices and experiences of other organizations that have achieved excellence in data governance across different domains. However, when benchmarking and learning from best practices, you should also consider the context, scope, and limitations of the data governance metrics and KPIs used by other organizations.

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Merrill Albert

Enterprise Data Leader, Data Governance Officer, Data Thought Leader, Chief Data Officer, Fractional Governance, Data Evangelist, Data Governance Strategist, Data Advisor, creator of #CrimesAgainstData
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Looking at what another company does is fine for ideas, but their "best" is not necessarily your "best". See what other companies are doing, see if those would work for you, but also see if there are improvements you can make to better suit you.

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5 Communicate and collaborate with stakeholders

Finally, comparing data governance metrics and KPIs across domains can also help you communicate and collaborate with your stakeholders, both internal and external. By sharing your data governance metrics and KPIs across domains, you can demonstrate the value and impact of your data governance program, as well as the challenges and risks that you face. You can also engage your stakeholders in the data governance process, by soliciting their feedback, input, and support for your data governance goals and objectives, metrics and KPIs, and actions and initiatives. By communicating and collaborating with your stakeholders, you can foster a data-driven culture and a shared vision for data governance across your organization.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How can you compare data governance metrics and KPIs across domains?

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4

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1 Define your data governance goals and objectives

2 Choose relevant and meaningful metrics and KPIs

3 Establish a common framework and methodology

4 Benchmark and learn from best practices

5 Communicate and collaborate with stakeholders

6 Here’s what else to consider

Data Governance

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How can you compare data governance metrics and KPIs across domains?

1

2

3

4

5

6

1 Define your data governance goals and objectives

2 Choose relevant and meaningful metrics and KPIs

3 Establish a common framework and methodology

4 Benchmark and learn from best practices

5 Communicate and collaborate with stakeholders

6 Here’s what else to consider

Data Governance

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