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Last updated on 2024年9月11日

Struggling to integrate data governance into agile processes?

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Integrating data governance into your agile processes can feel like fitting a square peg into a round hole. Agile methodologies prioritize speed and flexibility, often with iterative development cycles and a focus on continuous deployment. On the other hand, data governance involves establishing policies, procedures, and standards to ensure the effective management of data assets across an organization. It can seem inherently at odds with the fast-paced nature of agile. However, when done correctly, data governance can complement agile processes, ensuring that data is managed responsibly and efficiently while still allowing for the rapid iteration that agile promises.

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1 Agile Basics

Agile methodologies are rooted in the principle of iterative development, where solutions evolve through collaboration between self-organizing cross-functional teams. The Agile Manifesto emphasizes individuals and interactions, working software, customer collaboration, and responding to change. In this context, you might worry that the structured approach of data governance could stifle agility. However, integrating data governance into agile processes doesn't mean sacrificing adaptability. Instead, it's about embedding data quality, security, and compliance into the DNA of your agile practice, ensuring that as you rapidly innovate, you're also building a solid foundation for your data assets.

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Alexis Gachadoat

Architecte entreprise et solutions
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Point primordial lors des premières itérations d'un processus lors de laquelle l'on pourra faire intervenir un acteur tel que l'architecte d'entre prise en charge de recouper les besoins RSSI et fonctionnels pour accompagner le socle de la plateforme data. Une fois le socle en place les itérations suivantes devraient naturellement portées moins de complexité vis à vis de la gouvernance de données car c'est une thématique intrinsèquement peu volatile.

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2 Data Governance

Data governance is the overarching management of data's availability, usability, integrity, and security in an organization. It includes establishing processes to ensure data quality and consistency, defining data ownership, and implementing policies for data access and usage. You might think that such a comprehensive approach could slow down your agile processes, but it's quite the opposite. Effective data governance provides a clear framework within which agile teams can operate, reducing uncertainty and minimizing risks associated with data handling. This framework can be integrated into agile sprints, with data governance tasks prioritized alongside other work items.

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3 Integration Challenges

The main challenge in integrating data governance with agile is the perceived conflict between governance's need for control and agile's need for speed. Data governance often requires thorough documentation, long-term planning, and adherence to strict policies, which can seem to go against the grain of agile's quick and adaptive nature. Nonetheless, you can overcome this by adopting a mindset that views data governance as a facilitator rather than a bottleneck. By embedding governance principles into every stage of your agile process, from planning to deployment, you ensure that data management becomes a natural part of your workflow.

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Haider Zafar

VP, Senior Technology Manager, Bank of America
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Integrating data governance into an agile process comes with its own set of challenges: Overcoming resistance to change and fostering cross-functional collaboration. Defining Clear Roles and Responsibilities: Ensuring everyone knows their role in the data governance process

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4 Agile Data Stewardship

Data stewardship is a key component of data governance. It involves assigning responsibility for data quality and lifecycle management to individuals or teams. In an agile setting, you can appoint data stewards who work alongside agile teams to ensure that data governance policies are adhered to during each sprint. These stewards can provide guidance on how to manage data effectively without disrupting the agile workflow. They act as the bridge between the need for rapid development and the necessity for responsible data management, ensuring that both objectives are met in harmony.

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5 Governance Sprints

One practical way to integrate data governance into agile is to incorporate governance-related tasks into your sprints. You can treat these tasks as any other user story or feature, assigning them points and prioritizing them in your backlog. This approach ensures that data governance is not an afterthought but a continuous part of your development cycle. By breaking down governance activities into sprint-sized pieces, you make the process more manageable and less daunting for your agile teams, allowing them to tackle governance challenges in a structured yet flexible manner.

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Haider Zafar

VP, Senior Technology Manager, Bank of America
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The “governance sprints” in an agile context refer to the guiding principles that ensure effective governance “”Encourage team collaboration and knowledge sharing. Mirror the Agile Manifesto, align governance practices with the principles of the Agile Manifesto, promoting self-organization and accountability.

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6 Continuous Improvement

Continuous improvement is at the heart of both agile and data governance. By embracing this shared value, you can create a culture where integrating data governance into your agile processes is seen as an opportunity for enhancement rather than a hindrance. Encourage your teams to regularly review and refine their approach to data management within the agile framework. This iterative process not only improves the quality of your data over time but also aligns with the agile principle of responding to change and seeking constant improvement.

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Haider Zafar

VP, Senior Technology Manager, Bank of America
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Foster a culture of continuous improvement by regularly evaluating and refining data governance processes. By focusing on these basics, addressing the and adhering to it can successfully integrate data governance into your agile process.

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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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Maria’s team was focused on agility, constantly iterating and delivering fast. But integrating data governance felt like a burden. * Maria knew that to succeed, she needed to make governance a seamless part of their agile processes. * She started small—embedding governance checkpoints within sprints and aligning policies with agile principles. * By emphasizing that governance supports quality and scalability, she reframed it as a value-add, not a roadblock. Gradually, the team saw how streamlined governance enhanced their work, creating both speed and trust in their data-driven decisions.

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Struggling to integrate data governance into agile processes?

1

2

3

4

5

6

1 Agile Basics

2 Data Governance

3 Integration Challenges

4 Agile Data Stewardship

5 Governance Sprints

6 Continuous Improvement

Data Governance

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Struggling to integrate data governance into agile processes?

1

2

3

4

5

6

1 Agile Basics

2 Data Governance

3 Integration Challenges

4 Agile Data Stewardship

5 Governance Sprints

6 Continuous Improvement

Data Governance

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感谢您的反馈

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