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What are your best tips for handling data governance conflicts?

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Data governance conflicts are inevitable in any organization that deals with data. They can arise from different perspectives, interests, goals, and expectations among stakeholders, such as data owners, data users, data custodians, and data regulators. How can you handle these conflicts effectively and ensure that your data governance program is aligned with your business objectives and compliance requirements? Here are some tips to help you navigate the challenges of data governance conflicts.

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Andre Luiz C.

Data Governance Lead | Data Innovation Advisor | Startup Investor

1 Understand the root causes

Before you can resolve a data governance conflict, you need to understand its root causes. What are the underlying issues or assumptions that are creating the tension or disagreement? Is it a matter of data quality, data security, data access, data ownership, or data ethics? Is it a result of conflicting policies, standards, roles, or responsibilities? Is it a reflection of different organizational cultures, values, or incentives? By identifying the root causes, you can address them more effectively and avoid superficial or temporary solutions.

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Marco Aurelio C.Ribeiro

*** Open to Help *** Enterprise Data Architect
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You can always mediate conflicts with the end-users' opinions, plus you can define a primary definition and "alias" or secondary views in order to avoid problems, except when only one concept must be valid. In this case, user agreement is the final word. And, by having this agreement, it must be a mandatory one for all applications across the company.

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2 Communicate and collaborate

Communication and collaboration are essential for handling data governance conflicts. You need to establish clear and consistent channels of communication among all the stakeholders involved in the conflict. You need to listen to their concerns, expectations, and feedback, and acknowledge their perspectives and interests. You need to foster a culture of collaboration and trust, where stakeholders can share their ideas, insights, and best practices, and work together to find common ground and solutions. You need to communicate the value and benefits of data governance for the organization and its goals, and show how resolving the conflict can contribute to them.

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3 Use a framework or methodology

Using a framework or methodology can help you handle data governance conflicts in a structured and systematic way. A framework or methodology can provide you with a set of principles, guidelines, processes, and tools to define, measure, monitor, and improve your data governance program. It can also help you align your data governance program with your business strategy, vision, and values, and ensure that it is compliant with relevant laws, regulations, and standards. Some examples of data governance frameworks or methodologies are DAMA-DMBOK, ISO 8000, COBIT, and ITIL.

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4 Leverage data governance tools and technologies

Data governance tools and technologies can help automate, simplify, and enhance data governance tasks and activities. For example, they can help discover, catalog, and classify data assets; assess, monitor, and improve data quality; define, enforce, and audit data policies and rules; manage, protect, and share data securely; and track, report, and visualize data governance performance and metrics. Some of the tools that can be used include data governance platforms, data quality tools, data lineage tools, data catalog tools, and data security tools.

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5 Seek external support or guidance

Sometimes, you may need external support or guidance to handle data governance conflicts. This can take the form of a third-party mediator, consultant, or expert who can facilitate the dialogue and negotiation among the stakeholders, provide an objective and impartial perspective on the conflict, and offer best practices, recommendations, and solutions based on their experience and expertise. Furthermore, they can validate, verify, or certify your data governance program or practices. External support or guidance can help you overcome any barriers, biases, or blind spots that may prevent you from resolving the data governance conflict internally.

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Andre Luiz C.

Data Governance Lead | Data Innovation Advisor | Startup Investor
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A different approach that can be used to put Data Governance at the center of the table is to perform a data risk assessment by linking data importance scores to the organization's operational risk matrix.

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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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What are your best tips for handling data governance conflicts?

1

2

3

4

5

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1 Understand the root causes

2 Communicate and collaborate

3 Use a framework or methodology

4 Leverage data governance tools and technologies

5 Seek external support or guidance

6 Here’s what else to consider

Data Governance

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What are your best tips for handling data governance conflicts?

1

2

3

4

5

6

1 Understand the root causes

2 Communicate and collaborate

3 Use a framework or methodology

4 Leverage data governance tools and technologies

5 Seek external support or guidance

6 Here’s what else to consider

Data Governance

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