Increase your data knowledge with automated documentation
The objective is to improve and facilitate the understanding of your data assets and data initiatives for your new data consumers.
See this new data management discipline as a way to better describe your data, including its location information, and a way for breaking siloed environments and sources.
Data stewardship challenges
Start a data stewardship program
It is a known fact that data topics are constantly evolving and becoming more complex within organizations!
In an attempt to maximize their value, Zeenea offers a metadata management solution to provide knowledge about where the data is located, what attributes it has, and what it is linked to.
Properties, tags, and many other fields that allow anyone to find the asset they need.
Import datasets from the same data storages and their documentation.
Define documentation templates with simple “drag & drop” features for all your catalog items.
Document your data assets with ease and automation
You don’t have to be an expert to quickly get started.
Learn more about data stewardship
In order for your data users to discover relevant documentation in your data catalog, it is essential to ask yourself the right questions and know how to answer them.
With our toolkit, data leaders can focus on the Who, What, Where, Why, When and How of their data!
These questions can be used as support to build your data documentation model and provide data consumers with the elements that are useful to them.
Digital transformations bring about new challenges in the data industry. We are increasingly talking about data stewardship; an activity focused around data management and documentation of an organization. In this article, we would like to present the data stewards, the enterprise’s true guardians of data, take a closer look at their role, their missions, and their tools.
This article is a summary of the interviews conducted with more than 25 data stewards in medium-sized and large French enterprises. The goal was to understand their tasks and their hardships in metadata management, providing solutions within our data catalog.
Where Stewardship refers to the taking care of and the supervision of a specific property or organization, Data Stewardship refers to data supervision. Initially, the idea was that a domain expert would be in charge with qualifying and documenting data from their professional standpoint.
In fact, Data Stewards are those who work closest to where the data is collected; they are often those who best understand the different aspects of data and the standards to which they must adhere to