Last updated on 2024年5月4日

Here's how you can align data governance practices with organizational goals using feedback.

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Data governance is the process of 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. It's a crucial undertaking for any organization that wants to make data-driven decisions, but aligning it with organizational goals can be challenging. Feedback is a powerful tool in this alignment process, as it provides insights into how data governance practices are perceived and what impacts they have on business operations.

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1 Define Goals

Before diving into data governance practices, you must clearly understand your organization's goals. These are the benchmarks against which you'll measure the success of your data governance initiatives. Start by documenting the strategic objectives of your company. Whether it's improving customer satisfaction, streamlining operations, or increasing revenue, having a clear set of goals will guide your data governance efforts. Once these goals are articulated, use feedback to assess how well your current data governance practices support these aims. This could involve surveys or interviews with stakeholders across various departments to gather their perspectives.

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Kash Mehdi

Vice President of Growth @ DataGalaxy | Helping humans make better decisions with data and AI.
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An insurance company was struggling with poor customer experience. This came on the data governance team's radar. Postmortem of this problem showed that the agents dealing with customers on the phone didn't have accurate data on clients, and customers calling in tech support had to repeat their problems. Now, how many of us call a service only to realize the company doesn't know me well? Why can't the agents look at previous call logs to know what I am calling about? This is a classic issue of poor data quality, which can be solved with safe data governance practices. Going around and telling people we have a DQ problem, no one is going to take action, but linking data challenges with business outcomes will have positive DG outcomes.

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Jeremy Coone

Data Enthusiast | Enterprise AE
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Step 1 is the identification phase. It is important not to worry about identifying every single data source and data owner this early in the process. Focus instead on identifying the best place to start. More importantly, focus on the WHY. Why do you need data governance? Where is the immediate value for you when crawling and profiling data? Where is the long-term value? Use surveys and interviews across your organization to understand the challenges your users are facing and this will let you know if the goals you have begun to identify are relevant. Aligning your goals and data governance efforts across the organization will help increase adoption and the long-term health of your data governance practice.

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2 Map Practices

Mapping your current data governance practices to your organizational goals is a critical step. This involves reviewing your data policies, procedures, and standards to see how they align with the strategic objectives you've identified. For instance, if one of your goals is to enhance customer privacy, your data governance framework should include strict controls around personal data handling. Solicit feedback from those who interact with data daily to identify gaps or areas for improvement. Their insights can help you refine your data governance strategies to better support your organizational goals.

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3 Engage Teams

Engagement with cross-functional teams is essential for aligning data governance with organizational goals. Teams from IT, legal, compliance, and business units should have a say in how data is managed, as they are often the ones who feel the impact of these practices the most. Use their feedback to understand the challenges they face and the support they need. This collaborative approach ensures that data governance practices are not only aligned with business objectives but are also practical and enforceable across different departments.

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4 Implement Feedback

Implementing feedback into data governance practices is where the alignment truly happens. Take the feedback you've gathered and use it to adjust your policies, procedures, or even the technology you're using to manage data. If feedback indicates that data quality is a concern, for example, you might invest in better data cleaning tools or revise your data entry protocols. It's important to have a structured process for integrating feedback, which may include regular review cycles or a dedicated task force to oversee improvements.

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5 Monitor Progress

Monitoring progress is an ongoing and vital part of ensuring that data governance stays in line with organizational goals. Establish key performance indicators (KPIs) related to both data governance and business objectives to track progress. These could be metrics like the number of data breaches, the accuracy of reports, or the time taken to produce data-driven insights. Regularly collect feedback on these KPIs from stakeholders to identify trends and make informed decisions about where to focus your data governance efforts.

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6 Adjust Continuously

The business world is dynamic, and so should be your data governance practices. As organizational goals evolve, so must the ways in which you govern your data. Continuous adjustment is key to maintaining alignment. This means not only reacting to feedback but also proactively seeking it out to anticipate changes. Regularly revisit your data governance framework in light of new business strategies, market conditions, or regulatory requirements, and use stakeholder feedback to guide your adjustments.

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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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Hussam AbdulWahab

Data Strategy, Governance, Privacy, Technology Enterprise Architect
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Objectives must be measured I think depending only on feedback won’t be smart way for alignment , I would say use feedback as an indication and always keep the method of alignment is measurable feedback is subjective tool

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Here's how you can align data governance practices with organizational goals using feedback.

1

2

3

4

5

6

7

1 Define Goals

2 Map Practices

3 Engage Teams

4 Implement Feedback

5 Monitor Progress

6 Adjust Continuously

7 Here’s what else to consider

Data Governance

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Here's how you can align data governance practices with organizational goals using feedback.

1

2

3

4

5

6

7

1 Define Goals

2 Map Practices

3 Engage Teams

4 Implement Feedback

5 Monitor Progress

6 Adjust Continuously

7 Here’s what else to consider

Data Governance

给文章评分

感谢您的反馈

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