The importance of data governance

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Here you will discover the 6 key areas of data governance and their key elements. Take note of why data governance should be a priority for your business.
Having control over the data life cycle is the key to avoiding integrity problems. The first step is to understand traceability , which is essential to understand how data works within the company, what paths the information follows in its continuous flow. Achieving this much-needed knowledge and control is the goal of data governance .


The 6 key areas for data governance
Data governance encompasses the processes, but also the technologies and profiles required to manage the organization's data assets and ensure their security . The purpose of data governance is to ensure that business information is error-free, reliable, up-to-date and complete, and can be easily located when a user needs to access it.

The key elements of data governance can be classified into six basic categories:

- Accessibility: a necessary attribute if we want to achieve amazon database towards the single vision from a global perspective.

- Availability: because maximum updating is necessary , as agility is more a requirement than an option, given the characteristics of the current market environment.

- Quality: essential for taking data reliability as a starting point for decision-making, especially if we take into account that, ultimately, it will always impact customer satisfaction.

- Coherence: closely related to the integrity of the information and absolutely necessary to preserve the usefulness of the data and its relevance.

- Security: ensuring that there are no leaks or unauthorized access to data. Today, information protection is not only part of an adequate data governance strategy, but in many industries it is a legal requirement that must be observed.

- Verifiability: of the data , for example, through audits, which allow validating both its form and its content.



Data management and governance for data-first companies

Technology, coherence and data governance
The proper use of technology is important as long as it provides a comprehensive framework for data management and governance . If Data Governance is weak, it will attract data quality and integrity problems , which will result in bad decisions, a problem that should definitely be avoided.