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What are some ways to adapt to new data governance policies?

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Data governance policies are the rules and standards that define how data is collected, stored, accessed, and used in an organization. They are essential for ensuring data quality, security, compliance, and value. However, data governance policies are not static. They may change due to new regulations, business needs, technologies, or best practices. How can you adapt to new data governance policies without disrupting your data management processes and projects? Here are some ways to help you cope with change and stay on track.

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1 Understand the reasons

The first step to adapt to new data governance policies is to understand why they are implemented and what they aim to achieve. You may receive a formal announcement, a training session, or a document that explains the rationale and objectives of the new policies. Read, listen, and ask questions to clarify any doubts or concerns. Try to see the benefits and opportunities of the new policies, not just the challenges and constraints. For example, new policies may improve data quality, security, or compliance, which can enhance your data management performance and reputation.

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Nitish Sharma

Cloud Solutions Architect || Ex Kyndryl | IBM | Deloitte | IQVIA | ARIS Global | Bioclinica | MCA - JLPT N2
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Adapting to new data governance policies is crucial. Start by understanding the policies thoroughly, conduct regular training sessions, and implement robust data management tools. Stay compliant to build trust.

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2 Assess the impact

The next step is to assess how the new data governance policies affect your data management activities and responsibilities. You may need to review your current data sources, systems, processes, and outputs to identify any gaps, risks, or issues that need to be addressed. You may also need to update your data documentation, metadata, or standards to reflect the new policies. Depending on the scope and complexity of the changes, you may need to allocate more time, resources, or training to implement them. Communicate with your stakeholders and team members to align your expectations and priorities.

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3 Plan the actions

The third step is to plan the actions that you need to take to comply with the new data governance policies. You may need to modify your data collection, storage, access, or use methods to meet the new requirements or standards. You may also need to adopt new tools, techniques, or practices to support the new policies. For example, you may need to use a new data platform, encryption method, or quality check process. Create a realistic and detailed action plan that specifies the tasks, deadlines, roles, and dependencies involved in the transition.

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Sandeep Raju

Data & AI Strategy & Transformation | Data Management & Architecture SME | Consulting Lead
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Identify synergies with existing change initiatives, so that data governance compliance is viewed alongside tangible business benefit, rather than a significant additional cost.

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4 Execute the changes

The fourth step is to execute the changes that you have planned to align with the new data governance policies. You may need to test, validate, or monitor your data management processes and outputs to ensure that they are compliant and consistent with the new policies. You may also need to report, document, or audit your data management activities and results to demonstrate that you have followed the new policies. Seek feedback, support, or guidance from your data governance team, peers, or leaders if you encounter any problems or difficulties.

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5 Evaluate the outcomes

The fifth step is to evaluate the outcomes of your data management changes in relation to the new data governance policies. You may need to measure, analyze, or compare your data quality, security, compliance, or value indicators before and after the changes. You may also need to collect, review, or share your data management experiences, learnings, or best practices with the new policies. Identify any successes, challenges, or improvements that you have achieved or encountered. Celebrate your achievements and acknowledge your efforts.

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6 Learn and improve

The final step is to learn and improve your data management skills and knowledge based on the new data governance policies. You may need to update your data management competencies, certifications, or credentials to reflect the new policies. You may also need to seek, explore, or adopt new data management trends, innovations, or opportunities that are enabled or supported by the new policies. For example, you may learn a new data analysis technique, join a data community, or apply for a data project. Keep learning and improving to stay relevant and resilient in the data field.

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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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What are some ways to adapt to new data governance policies?

1

2

3

4

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1 Understand the reasons

2 Assess the impact

3 Plan the actions

4 Execute the changes

5 Evaluate the outcomes

6 Learn and improve

7 Here’s what else to consider

Data Management

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What are some ways to adapt to new data governance policies?

1

2

3

4

5

6

7

1 Understand the reasons

2 Assess the impact

3 Plan the actions

4 Execute the changes

5 Evaluate the outcomes

6 Learn and improve

7 Here’s what else to consider

Data Management

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