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How can you handle constructive criticism in data governance?

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Data governance is the practice of ensuring the quality, security, and usability of data across an organization. It involves setting policies, standards, roles, and processes for data management and stewardship. However, data governance is not a one-size-fits-all solution. It requires constant feedback, evaluation, and improvement to adapt to changing business needs, regulations, and technologies. That's why data governance professionals need to be able to handle constructive criticism effectively. In this article, we'll share some tips on how to do that.

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Lindsay Pettai, CKM, A-CSM, CSPO

?? 3x Top LinkedIn Voice | Data Governance Lead ?? | Program Management | Project Management | Change Management PROSCI…

1 Why constructive criticism matters in data governance

Constructive criticism is essential for data governance because it helps you identify gaps, errors, and opportunities in your data strategy. It also helps you build trust and collaboration with your stakeholders, who may have different perspectives, expectations, and needs from your data. By listening to constructive criticism, you can learn from your mistakes, improve your performance, and deliver more value to your organization.

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Lindsay Pettai, CKM, A-CSM, CSPO

?? 3x Top LinkedIn Voice | Data Governance Lead ?? | Program Management | Project Management | Change Management PROSCI |
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I wholeheartedly agree with the importance of constructive criticism in data governance. Let's day a healthcare organization implementing a new electronic health records system. Medical staff, administrators, and IT professionals may have different needs and expectations for the data. Constructive criticism helps identify gaps and refine the system to meet everyone's requirements, enhancing data accuracy and patient care. This collaborative approach fosters trust and ensures that data governance aligns with diverse stakeholder needs.

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2 How to receive constructive criticism in data governance

Receiving constructive criticism can be difficult, especially when you are passionate about your work and invested in your data outcomes. To make the most of it, start by thanking the person for their feedback and acknowledging their point of view. Ask questions to gain clarity on their concerns, expectations, and suggestions. Then, consider how their feedback aligns with your data goals, standards, and best practices. After that, decide what actions you can take to address their feedback and improve your data governance. Finally, communicate your action plan and follow up on your progress.

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3 How to give constructive criticism in data governance

Giving constructive criticism is an essential skill for data governance professionals, as they may need to provide guidance, advice, and feedback to their data team, users, and stakeholders. When giving constructive criticism, it’s important to be specific and objective about the issue, rather than the person. Evidence and examples should be provided to support the feedback and the emphasis should be placed on the impact and implications of the issue for data quality, security, and usability. Solutions and recommendations should also be offered to resolve the issue, while remaining respectful and empathetic, avoiding any blaming or shaming.

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4 How to deal with negative criticism in data governance

Negative criticism can be demoralizing and frustrating, but it should not affect your data governance. If the criticism is irrelevant, inaccurate, or malicious, it's best to ignore it. If it is relevant but based on misunderstanding or misinformation, respond calmly and professionally. If the criticism is relevant but based on personal or political agendas, seek support and feedback from your data peers, mentors, or managers. Lastly, if the criticism reveals a weakness or blind spot in your data governance, learn from it.

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5 How to foster a culture of constructive criticism in data governance

Constructive criticism is not only a skill, but also a culture. To foster such a culture in data governance, you should establish clear and consistent data policies, standards, and metrics that guide your data governance and evaluation. Open and honest communication and feedback should be encouraged among your data team, users, and stakeholders. Additionally, it is important to create a safe and supportive environment where people can express their opinions, concerns, and ideas without fear of judgment or retaliation. Finally, successes and improvements should be celebrated and rewarded, while failures and challenges should be acknowledged and used as an opportunity to learn.

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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 handle constructive criticism in data governance?

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1 Why constructive criticism matters in data governance

2 How to receive constructive criticism in data governance

3 How to give constructive criticism in data governance

4 How to deal with negative criticism in data governance

5 How to foster a culture of constructive criticism in data governance

6 Here’s what else to consider

Data Governance

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How can you handle constructive criticism in data governance?

1

2

3

4

5

6

1 Why constructive criticism matters in data governance

2 How to receive constructive criticism in data governance

3 How to give constructive criticism in data governance

4 How to deal with negative criticism in data governance

5 How to foster a culture of constructive criticism in data governance

6 Here’s what else to consider

Data Governance

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