What are the components of the data governance framework?

Are you striving to maximize the value of your information assets? While investing in data governance software is a promising start, it's important to recognize that it's only one piece of the puzzle. Let's debunk the myth that data governance revolves solely around technology.

Picture the process of building a house. It's not just about stacking bricks. You'd consult an architect for the blueprint, hire skilled builders for the construction, and ensure constant communication throughout the project. Similarly, data governance transcends technological tools; it requires a solid foundation built on people, processes, and technology, akin to the essentials of constructing a home. Software is vital, but it forms just one of the three pillars of a successful data governance framework.

The Three (plus one) Pillars of Data Governance

A chair symbolizing the three essential pillars of data governance - people, technology, and processes. Each leg of the chair, representing these pillars, must be robust to ensure the chair functions seamlessly and you can relax comfortably on it.
Data Governance consists of three elements.

People: The Core of Data Governance

At its heart, data governance is about people. It involves engaging stakeholders across the organization to set policies, assign data ownership, and spearhead the initiative. Finding people willing to take on these responsibilities can be challenging, but it is a critical factor for triumph.

A chair symbolizing the three essential pillars of data governance - people, technology, and processes. Each leg of the chair, representing these pillars, must be robust to ensure the chair functions seamlessly and you can relax comfortably on it. One of the legs (people) is weak and cracking. If someone sits on it, it's possible it won't hold them.
If one component starts to weaken - it is possible that the whole stool will buckle under you.

Processes: The Framework of Efficiency

Documented, well-defined processes form the backbone of effective data governance. This includes establishing protocols for data collection, access, and use, from data dictionaries to quality checks and approval workflows. These processes are the safeguards of data integrity and the facilitators of smooth operations, with features like automation and setup assistance to streamline implementation and maintain alignment.

Technology: The Enabling Force

Technology connects all elements of data governance, providing a centralized platform for data transparency and management, and enabling stakeholders to access and manage data efficiently.

Chairs illustrating that all three pillars are indeed needed
Would you really want to sit on it? Even without technology it does not work properly.

Data Culture

To strengthen the stability of this framework, we introduce a fourth dimension: data culture. Building a strong data culture fosters responsibility, enhances data literacy, encourages open communication, and promotes continuous improvement. It recognizes the value of data as an asset and ensures effective management.

The Role of Technology in Supporting Processes

Technology supports, not leads. Choose a data governance tool that focuses on process design and adoption, not just enticing features. Look for a flexible methodology that is tailored to your specific needs. Data governance tools are indispensable for automating tasks, monitoring compliance, and enhancing visibility. They support and streamline the processes and culture previously mentioned.

An illustration of how data governance software as a technology can help with the other two pillars, processes and people.

The essence of effective data governance lies in selecting a tool that not only utilizes technology but also emphasizes process design, adoption, and the foundational elements of people and culture. This comprehensive approach is key to unlocking the full potential of data governance.

Dawiso offers an intuitive data governance solution that enables you to establish robust processes and adopt an all-encompassing data governance methodology. Our platform is designed to support every aspect of the data governance framework, making Dawiso your ally in promoting a culture of data excellence. By choosing Dawiso, decision-makers are equipped with the necessary tools and methodologies to navigate the complexities of data management, securing a strategic advantage in today's data-centric business landscape.

Is Data Governance Part of Data Management?

Two commonly discussed terms are data governance and data management, but their differences and interrelationships can be confusing. Simply, data governance is a key component of data management—which involves overseeing the processing and handling of data across the organization. Data governance supports data management through stewardship, policies, processes, standards, and adherence to practices.

Data management framework illustration - how is it divided. Data governance is a part of data management.

Ready to build a solid foundation for your data strategy? Explore solutions that comprehensively address both data governance and data management. By understanding their unique roles and synergies, you can unlock the full potential of your information assets and make data-driven decisions with confidence.

Petr Mikeška
Dawiso CEO
Petr Mikeška
Dawiso CEO

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