Data governance is, first and foremost, a data management function to ensure the quality, integrity, security, and usability of the data collected by an organization. It engages people, processes and technologies to maximize data values across an organization while protecting with appropriate security controls.

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Data Governance can be split in the following six pillars:

Data Cataloging

Is the process of organizing, structuring, and describing data assets in a way that makes them easily discoverable and understandable for users. It involves creating metadata, or data about the data, such as descriptions, keywords, and relationships to other data assets.

Data security

Refers to the protection of sensitive information from unauthorized access, use, disclosure, disruption, modification, or destruction. It includes a variety of measures such as encryption, access controls, and monitoring to safeguard data and ensure its confidentiality, integrity, and availability.

Data quality

Refers to the accuracy, completeness, consistency, and reliability of data. It ensures that data is fit for its intended use and can be trusted for decision-making.

Data accountability

Refers to the responsibility and accountability for the data, including its collection, storage, use, and dissemination. It ensures that data is handled ethically and legally, and that any potential harm caused by the data is identified and mitigated.

Data lifecycle management

Refers to the process of managing data throughout its entire lifecycle, from creation to archiving or deletion. It involves defining policies, procedures, and processes to ensure data is properly collected, stored, used, and disposed of in an efficient, secure, and compliant manner.

Ethics and privacy

Data ethics refers to the moral principles and guidelines that govern how data is collected, stored, used, and shared. Privacy, on the other hand, refers to the ability of individuals to control who has access to their personal information and how it is used.

At Astrafy we understand the importance of data governance in today's digital age. Our team of experts has extensive experience in managing and protecting sensitive information, ensuring compliance with industry regulations and standards, and implementing best practices for data management.

Our engineers have expertise in the following data governance solutions and how to integrate those altogether :


Great Expectation






Google Cloud IAM

We’ve got you covered with security certifications

Regulations require more and more companies to be certified with security certifications proving that they have thorough policies and processes in place to handle data security.

Astrafy engineers have accompanied various companies in getting certified in ISO 27001 and SOC 2.


ISO 27001



Why Astrafy ?

Data Governance requires more than just appropriate tools. It requires a deep understanding of the entire data ecosystem and change management skills to adopt a new mindset towards data.

Our team of engineers is committed to a high level of data governance in each data project we deliver. The topics covered by data governance are just too important to be left unattended.

Your main advantages working with us for your Data Governance journey:

  • We have hands-on experience implementing greenfield data governance projects or revamping data governance projects that have gone the wrong way.
  • We make sure that data governance is automated and that it is not a burden for the different data teams. We make this a reality thanks to our expertise in DataOps and Data Engineering.
  • We understand that every organisation is unique and has different data governance needs. We adapt to your stack and your culture
  • We are security paranoids and always look for worst case scenarios and solutions to tackle those.

Ready to do data governance the right way?