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Less documentation. Stronger governance and productivity.

Discover how a data observability platform can facilitate your documentation process so your teams can focus on generating value on data.


Use case


In all sectors data is becoming a source of opportunities for many companies, with data teams continuously deploying new projects. This data represents a unique opportunity for growth but it also imposes constraints to its users. One of them is the necessity to maintain a continuous stream of documentation in order to ensure the control of both the risk and the ROI of the data usages.

For instance Chief Data Officers have to update data catalogs and demonstrate the respect of governance policies, Data Protection Officers have to show evidence of the viability and the risks tied to any projects, and Analysts must explain the results obtained and the associated decisions.


Work based on data has thus to be documented, whether it happens in an ETL, ML/AI notebook or a BI tool. The documentation process usually requires time and some true efforts from the users as it might be both laborious and boring. This ineluctably leads some teams to follow it, and others to neglect it.

So, when done, manual documentation impacts the capacity for enterprises to grow data monetization without growing the team linearly, and the team's morale due to the associated boredom of repeatedly updating documents. On the other hand, it is the collaboration between teams as well as the data governance that are impacted when the documentation is not (properly) done.

With Kensu

Our observability platform analyzes in real time how data is used across the different systems and applications in order to generate logs. With this information automatically generated,  Kensu provides and maintains automatically, on the fly, documentation about data pipelines, ML/AI models, … 

Kensu also allows data catalogs to remain useful in the long run by generating and maintaining the information they require for their users to always find the best datasets they look for.


Documentation will always go along with data usage since it is required for both understanding its usage but also to guarantee that it is being properly used (e.g. GDPR). Adopting an observability platform that generates automatically documentation will therefore help to :

  • Increase the productivity of data team  as users will stop wasting time documenting
  • Improve the data governance with more visibility and control about data usage
  • Strengthen collaboration between teams with better exchange of information.

To know more

Documentation is key in the long run for data governance and productivity. If  you wish to know more about how Kensu helps companies to improve their documentation process, do not hesitate to get in touch with our team.

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