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What are effective ways to overcome resistance to data governance policies?

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Data governance policies are essential for ensuring the quality, security, and usability of data in an organization. However, implementing and enforcing them can be challenging, especially when facing resistance from stakeholders who may not see the value or benefits of data governance. How can you overcome this resistance and foster a data governance culture in your organization? Here are some effective ways to do so.

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Vignesh Coumarane
Ruba Al Zoubi

Digital Marketer, e-Commerce, Academic Researcher, and Data Analyst
Stutee Brahma, CSPO?

Product Manager | Product Growth | Strategy | IIM Lucknow | Topper

1 Understand the sources of resistance

In order to overcome resistance to data governance policies, you must first understand where it is coming from and why. Common sources of resistance can include a lack of awareness or understanding of the purpose and benefits of data governance, fear of change or loss of control over data, conflicts with existing processes, roles, or responsibilities, mistrust or lack of communication between data producers, consumers, and stewards, and low data literacy or skills among staff. Once you have identified these sources of resistance, you can tailor your communication and engagement strategies to address them.

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Ruba Al Zoubi

Digital Marketer, e-Commerce, Academic Researcher, and Data Analyst
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Effective strategies that can help foster a culture of data governance within an organization. 1. Communicate the Value. 2. Educate and Train. 3. Engage Stakeholders. 4. Demonstrate Success. 5. Align with Business Objectives. 6. Establish Clear Policies and Processes. 7. Address Concerns Proactively.

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Stutee Brahma, CSPO?

Product Manager | Product Growth | Strategy | IIM Lucknow | Topper
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1. Clear Communication of Value Proposition: The articulation of the benefits of data governance was paramount. Clearly communicating how it enhanced data quality, ensured compliance, and improved decision-making resonated with stakeholders, highlighting the tangible value it brought to the organization. 2. Demonstration of Quick Wins: Initiating small, manageable projects that showcased immediate benefits played a crucial role. These quick wins not only built momentum but also provided tangible evidence of the positive impact of data governance on daily operations, winning over skeptical stakeholders. 3. Active Involvement of Key Stakeholders: Engaging key decision-makers and influential individuals from the outset was a key strategy.

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2 Communicate the value and benefits of data governance

The next step is to communicate the value and benefits of data governance to stakeholders who are resistant or reluctant to adopt the policies. You can do this by aligning the data governance goals and objectives with the organizational vision and mission, as well as demonstrating how data governance policies can improve data quality, security, and usability, which can translate into better business outcomes and customer satisfaction. It's also beneficial to share success stories and best practices from other organizations or departments that have implemented data governance policies. Additionally, providing clear and consistent messages and feedback through various channels and formats, as well as inviting feedback and suggestions from stakeholders and addressing their concerns and questions, can help build trust and credibility. Ultimately, you need to show that data governance is not a burden, but an opportunity.

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Henry Kelly

Director of IT Applications at Woodruff Arts Center
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Real world examples of the nightmare scenarios where there was no real data governance or awareness. There are plenty of stories of how customers where mistakenly contacted because of the low-level or new employee that extracted the wrong data, with no real oversight.

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3 Involve and empower stakeholders in data governance activities

The third step is to involve and empower stakeholders in data governance activities, such as defining, documenting, and enforcing the policies. This can be accomplished by establishing a data governance framework and structure that outlines the roles, responsibilities, and accountabilities of data producers, consumers, and stewards. Additionally, creating a data governance committee or council that represents the interests of different stakeholders and serves as a decision-making body is important. Furthermore, encouraging collaboration among stakeholders in data governance processes such as data quality assessment and access can help. Providing training and support to stakeholders to enhance their data literacy and skills, as well as to familiarize them with the data governance policies and tools is also beneficial. Lastly, recognizing and rewarding stakeholders for their contributions in data governance can foster a sense of ownership and commitment. All of these actions combined can create a culture of data governance.

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Vignesh Coumarane
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Formulating a data governance framework could help streamline the ifs and buts around governance guidelines and limitations. So it is better to include the stakeholders while framing the governance model and the boundaries to ensure that the business and the developers have a win-win situation.

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4 Monitor and evaluate the impact of data governance policies

The fourth step in data governance is to monitor and evaluate the impact of policies on the data and the organization. This can be done by establishing metrics and indicators to measure performance, collecting and analyzing data from various sources, reporting and communicating results to stakeholders and senior management, identifying challenges in implementation and enforcement, and celebrating successes. By monitoring and evaluating the impact of data governance policies, you can demonstrate effectiveness, reinforce positive change, and acknowledge the value of data governance.

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5 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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Mohammed Irfan M.Tech, CDMP, PSMII

Data architect with expertise in data management, data modeling, data quality, data governance, integration, ETL and database management. Bigdata | Teradata | Ab initio.
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Imagine data governance policies as a communal mural. * Strategy 1: The Inclusive Brushstroke—invite skeptics to contribute their colors (feedback) to the canvas. * Strategy 2: The Showcase Gallery—display success stories (benefits) to inspire confidence. * Strategy 3: The Collaborative Art Class—conduct workshops (training) to demystify the creative process. This artistic approach not only breaks down resistance but transforms the mural of data governance policies into a collective masterpiece, where every stroke contributes to the vibrant and harmonious whole.

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What are effective ways to overcome resistance to data governance policies?

1

2

3

4

5

1 Understand the sources of resistance

2 Communicate the value and benefits of data governance

3 Involve and empower stakeholders in data governance activities

4 Monitor and evaluate the impact of data governance policies

5 Here’s what else to consider

Data Management

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What are effective ways to overcome resistance to data governance policies?

1

2

3

4

5

1 Understand the sources of resistance

2 Communicate the value and benefits of data governance

3 Involve and empower stakeholders in data governance activities

4 Monitor and evaluate the impact of data governance policies

5 Here’s what else to consider

Data Management

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