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Last updated on 2024年6月20日

Here's how you can continuously improve your data governance skills by creating a feedback loop.

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Improving your data governance skills is an ongoing process, and creating a feedback loop can be instrumental in that journey. Data governance encompasses the practices and processes that ensure high-quality data management within an organization. It involves setting policies, standards, and procedures to manage data effectively. By actively seeking and responding to feedback, you can adapt to changes, correct issues, and refine your approach to data governance. This article will guide you through creating a feedback loop to continuously enhance your data governance expertise.

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Joao Paulo Madureira

Gerente de Projetos | Gerente de Manuten??o | Coordenador de Manuten??o | Coordenandor de Projetos, apaixonado por…

1 Understand Basics

To start improving your data governance skills, you must first have a solid understanding of the basics. Data governance involves managing the availability, usability, integrity, and security of the data in enterprise systems based on internal data standards and policies that also control data usage. Effective data governance ensures that data is consistent and trustworthy and doesn't get misused. Familiarize yourself with key concepts such as data quality, data lineage, and metadata management. This foundational knowledge will serve as the groundwork for your feedback loop.

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Thapanee K.

Data Governance | Data Management | 10+ Years Driving Data Value
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Building on the core principles, data governance involves understanding key roles like data ownership and stewardship. This ensures clear accountability for the quality, privacy, and security of your data. You'll also delve into critical data elements – those requiring extra attention for accuracy, protection, and compliance. Data classification, based on sensitivity, dictates the appropriate security measures. Clear data definitions ensure everyone's on the same page when it comes to data meaning. Finally, data access management restricts access to authorized users based on data classification. Understanding data risks and controls, and how data governance mitigates them, is another valuable skill.

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2 Seek Feedback

Once you grasp the fundamentals, actively seek feedback on your data governance initiatives. Engage with stakeholders across different departments to gather diverse perspectives on how data is managed, accessed, and utilized. Encourage open communication and create channels where feedback can be given easily and anonymously if needed. This could be through regular meetings, surveys, or digital platforms. Remember, feedback is not just about finding faults; it's also about recognizing what works well and should be maintained or scaled.

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3 Analyze Input

After collecting feedback, take the time to analyze it thoroughly. Look for patterns or recurring themes that could indicate systemic issues or areas for improvement in your data governance framework. It's essential to differentiate between one-off comments and feedback that reflects a broader consensus or trend. This analysis will help you prioritize the changes that will have the most significant impact on improving data governance practices within your organization.

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4 Implement Changes

Implementing changes based on the feedback received is crucial for the continuous improvement of your data governance skills. Develop a plan to address the feedback, ensuring that you communicate the changes to all stakeholders involved. This might include revising data policies, enhancing data quality measures, or providing additional training for staff. Keep in mind that not all feedback will result in immediate change; some may require long-term strategic planning to implement effectively.

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5 Measure Impact

To ensure that the changes you've made are effective, measure their impact over time. Establish key performance indicators (KPIs) related to data governance, such as data quality scores, compliance rates, or the number of data breaches. By tracking these metrics before and after implementing feedback-driven changes, you can assess whether your actions have led to improvements. This step is vital for demonstrating the value of the feedback loop and for making data-driven decisions about future data governance initiatives.

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Sumeet Jaiswal

Lead Assistant Vice President at HSBC | Ex EY, PwC | Perpetual Eclecticist | Data Evangelist | Data Governance | IT & Data Strategy | Data Quality | MDM | Data Catalog | Data Integration | Metadata Management
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Scorecards or metrics can be created to track effectiveness and performance of each role in the data governance charter. Targets to be set based on which levels are required to advance on organisations stated data governance objectives. Some commonly used KPIs 1. Last review date of data governance charter 2. % of meetings without MoM published 3. % of meeting escalated to DG council 4. % of data governance initiated completed. These above ones are very small number

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6 Refine Continuously

The final step in your feedback loop is to refine your approach continuously. Data governance is not a set-it-and-forget-it discipline; it requires ongoing attention and adaptation. Use the insights gained from measuring the impact of your changes to make further adjustments. Always be open to new feedback and ready to iterate on your processes. This commitment to continuous refinement will help you stay ahead in the ever-evolving field of data governance.

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Joao Paulo Madureira

Gerente de Projetos | Gerente de Manuten??o | Coordenador de Manuten??o | Coordenandor de Projetos, apaixonado por manuten??o e eficiência, com expertise em Lean Six Sigma e TPM.
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Em minha experiência, pude comprovar que feedbacks construtivos s?o mais efetivos e geram retornos e aprendizados valiosos no seu gerenciamento

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7 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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Here's how you can continuously improve your data governance skills by creating a feedback loop.

1

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3

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1 Understand Basics

2 Seek Feedback

3 Analyze Input

4 Implement Changes

5 Measure Impact

6 Refine Continuously

7 Here’s what else to consider

Data Governance

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Here's how you can continuously improve your data governance skills by creating a feedback loop.

1

2

3

4

5

6

7

1 Understand Basics

2 Seek Feedback

3 Analyze Input

4 Implement Changes

5 Measure Impact

6 Refine Continuously

7 Here’s what else to consider

Data Governance

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