Learn how to apply project management principles and practices to your data governance initiatives and manage your stakeholders effectively and efficiently.

Why are we doing Data Governance? Nowadays, every company is investing in data governance, but I see that the why is unclear. For most companies, their auditor said so, or other peer companies have a higher degree of data governance than your company. If we start the Data Governance for the above reasons, you can't expect a big engagement while doing data governance. I have divided data governance benefits into two section Risk Reduction - Regulatory Compliance - Privacy Compliance - Data Security Data Adoption - Build New Data Products - Time to Market/ Efficiency - Trustworthy Business Decisions Do not expect any business engagement if you are doing it for Risk Reduction. The line of business must be forced to do its job.

You’re a data governance professional. How can project management experience help you manage stakeholders?

Data governance is the practice of ensuring that data is accurate, consistent, secure, and compliant with policies and regulations. As a data governance professional, you are responsible for defining and implementing data standards, policies, and processes across the organization. You also need to communicate and collaborate with various stakeholders, such as data owners, data users, data stewards, data architects, and data analysts, to align their expectations, needs, and roles. How can project management experience help you manage stakeholders effectively and efficiently?

Key takeaways from this article

Stakeholder communication plan:

Create a detailed plan to guide interactions with stakeholders. This ensures everyone is on the same page, facilitating smoother project progress and better data governance outcomes.
Conflict navigation skills:

Your ability to mediate disagreements and align different department goals is crucial. It helps maintain harmony and keeps data governance initiatives moving forward effectively.

This summary is powered by AI and these experts

1 Project management basics

Project management is the application of knowledge, skills, tools, and techniques to achieve specific goals and objectives within a defined scope, time, and budget. Project management involves initiating, planning, executing, monitoring, controlling, and closing projects. As a data governance professional, you can apply project management principles and practices to your data governance initiatives, such as data quality improvement, data security enhancement, or data policy compliance.

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Sharad Varshney

CEO, OvalEdge
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Why are we doing Data Governance? Nowadays, every company is investing in data governance, but I see that the why is unclear. For most companies, their auditor said so, or other peer companies have a higher degree of data governance than your company. If we start the Data Governance for the above reasons, you can't expect a big engagement while doing data governance. I have divided data governance benefits into two section Risk Reduction - Regulatory Compliance - Privacy Compliance - Data Security Data Adoption - Build New Data Products - Time to Market/ Efficiency - Trustworthy Business Decisions Do not expect any business engagement if you are doing it for Risk Reduction. The line of business must be forced to do its job.

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2 Stakeholder identification and analysis

Stakeholders are individuals or groups who have an interest or influence in the project or its outcome. Stakeholder identification and analysis is the process of identifying and understanding the needs, expectations, and interests of the stakeholders, as well as their potential impact and influence on the project. As a data governance professional, you can use project management tools and techniques, such as stakeholder register, stakeholder matrix, or stakeholder map, to document and categorize your stakeholders based on their power, interest, attitude, and engagement level.

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Srinivas Neelam

Analytics Leader | Digital Transformation | Cloud Migration | Agile | Program Management| Product development | BI and Advanced Analytics
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It requires the identification and analysis of stakeholders' needs, interests, and potential influence on the project or governance initiative. Experience in project management equips you with the tools to conduct thorough stakeholder analyses, enabling you to understand their priorities and anticipate their concerns, which is crucial for successful data governance.

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3 Stakeholder communication and engagement

Stakeholder communication and engagement is the process of establishing and maintaining effective communication and collaboration with the stakeholders throughout the project lifecycle. Stakeholder communication and engagement involves planning, executing, and evaluating the communication methods, channels, frequency, and quality. As a data governance professional, you can use project management skills and practices, such as communication plan, communication matrix, or communication report, to ensure that your stakeholders are well-informed, involved, and satisfied with your data governance activities and outcomes.

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Srinivas Neelam

Analytics Leader | Digital Transformation | Cloud Migration | Agile | Program Management| Product development | BI and Advanced Analytics
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In project management, resolving conflicts and finding common ground among team members and stakeholders is essential for keeping projects on track. This skill is equally important in data governance, where differing objectives or priorities between departments (e.g., IT, Legal, Business Units) can create obstacles. Your ability to navigate these conflicts can lead to more effective collaboration and governance outcomes.

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Kunal Sharma

Principal, Data Strategy & Management
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Communication is vital to project management. Similarly, communication is fundamental in building a culture for data governance. Data governance should be business-driven and IT-supported to accommodate cross-functional use cases that may have traditionally been siloed. One of the first things a data governance program should formalize is an initial communications plan highlighting the various types of communications, mediums, and audiences to socialize data governance outputs, like how a communication plan provides expectations on how information will be shared during the project. As with any transformation, organizational change management is critical to success, and communication is a success enabler.

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4 Stakeholder management and negotiation

Stakeholder management and negotiation is the process of managing and resolving conflicts, issues, or changes that may arise among or with the stakeholders during the project. Stakeholder management and negotiation involves identifying, analyzing, and addressing the sources, causes, and impacts of the conflicts, issues, or changes, as well as developing and implementing strategies and actions to prevent or mitigate them. As a data governance professional, you can use project management techniques and approaches, such as issue log, issue tracker, or issue resolution, to handle and negotiate with your stakeholders effectively and diplomatically.

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5 Stakeholder feedback and evaluation

Stakeholder feedback and evaluation is the process of collecting and assessing the feedback and opinions of the stakeholders regarding the project performance and outcome. Stakeholder feedback and evaluation involves designing and conducting surveys, interviews, focus groups, or workshops to gather and analyze the stakeholder feedback and opinions, as well as using them to measure and improve the project quality and success. As a data governance professional, you can use project management tools and methods, such as feedback form, feedback report, or feedback loop, to learn from and incorporate the stakeholder feedback and opinions into your data governance processes and practices.

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6 Stakeholder value and benefit

Stakeholder value and benefit is the process of delivering and demonstrating the value and benefit of the project to the stakeholders. Stakeholder value and benefit involves defining and communicating the project objectives, scope, deliverables, and benefits, as well as measuring and reporting the project results, outcomes, and impacts. As a data governance professional, you can use project management skills and practices, such as value proposition, value statement, or value analysis, to show and prove the value and benefit of your data governance initiatives to your stakeholders.

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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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You’re a data governance professional. How can project management experience help you manage stakeholders?

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1 Project management basics

2 Stakeholder identification and analysis

3 Stakeholder communication and engagement

4 Stakeholder management and negotiation

5 Stakeholder feedback and evaluation

6 Stakeholder value and benefit

7 Here’s what else to consider

Data Governance

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You’re a data governance professional. How can project management experience help you manage stakeholders?

1

2

3

4

5

6

7

1 Project management basics

2 Stakeholder identification and analysis

3 Stakeholder communication and engagement

4 Stakeholder management and negotiation

5 Stakeholder feedback and evaluation

6 Stakeholder value and benefit

7 Here’s what else to consider

Data Governance

Rate this article

Thanks for your feedback

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