Data governance: how to implement it effectively?

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Data quality and governance are essential when it comes to empowering teams with accessible, secure and reliable information for decision-making.
With the exponential growth in the amount of data generated in recent years, digital transformation now a requirement for business survival, and increasing cybersecurity threats, data quality and governance have become a priority on the agendas of business leaders and CDOs.

When implementing a Data Governance strategy to organize a company's data and ensure information availability and security, what are the recommended steps?




Be data-forward and cyber-resilient: Know and nurse database your information, empower your people and lead the future


Data governance is crucial for businesses because:

Greater data availability.
The rise of digital transformation initiatives.
Increased regulatory and compliance requirements.




Among CDOs’ initiatives to create value for their organizations, about 44% mentioned defining clear data governance responsibilities across the organization.

Source: MIT Management



5 elements for an effective data governance program
However, in order to develop and implement a good data governance program, it is necessary to consider the different parties involved in it:

Council or group of leaders.
Assessment of the state of affairs.
Application planning.
Precise definition of the information available.
Group of procedures and permanent monitoring.






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Consistent and reliable information with a data governance plan




1. Define the person responsible for organizing the information
One of the aspects to be defined first is who will be responsible for organizing the information handled in the company. That is, the person in charge of creating the council that will develop the policies and provide information about the progress that data governance is experiencing must be established.