Data Scientists

 the data explorer 

In the 21st century, data scientists look to strike gold by venturing into an enterprise’s data assets, looking for gems to transform.

This new profession has both operational and strategic challenges. Their missions are, among others, to develop predictive models, to make data understandable and exploitable for the enterprise’s top management, and build machine learning algorithms.

To achieve their missions, collaborators must be able to determine what data is available, which ones they really need, understand the data (context and quality), and finally know how to retrieve them! Zeenea offers the solution and features to fulfill their needs.

The social data explorer for Data Scientists

In order to bring meaning and context around data assets, it is essential for an enterprise to be equipped with a data catalog. Zeenea is an enterprise’s metadata search engine; it allows Data Scientists, among other things, to find, identify, and understand data via an intuitive interface.

Intuitive and easy to setup, our data catalog will help you face these challenges to able to reach these objectives:

Document & SHARE Data sets

Our data catalog indexes, and automatically updates, a data set’s knowledge in Zeenea from the storage systems with which it is connected.

In the same way as Google, Data Scientists have access to a search engine to accelerate and simplify the discovery of relevant data sets for their use cases.

Simply type in a keyword, add a few filters, click search to find the needed data sets.


+ Discover and retrieve datasets in just a few minutes...

understand the context around data

Zeenea’s features allow data users, such as Data Scientists, to understand a data set’s context.

Metadata imported automatically or manually entered by the Data Steward in our data catalog allows anyone to verify the relevancy or even the quality of a data set for their use case.

A Data Scientist can also study the relations associated with a data asset thanks to our data lineage feature, a visual representation of the lifecycle of the data.


+ Valorize a data set’s context for data users.

collaborate withall data users

We offer a collaborative data catalog that allows Data Scientists to share their knowledge on data sets thanks to our community features, such as a system of comments.

The different data profiles (CDO, Data Steward or even a Data Analyst) thus participate in the construction and improvement of knowledge of the enterprise’s data assets.

The centralized information in our data catalog allows a tribal knowledge around an enterprise’s data. In fact, sharing information and feedback in our data catalog allows Data Scientists to make better decisions when choosing which datasets to use.


+ Furthering the knowledge and feedback of Data Scientists through collaborative features.

Who uses a Data Catalog ?

Chief Data Officers

Discover how data catalogs help CDOs build data governance

Data Stewards

Find out the metadata workbench for Data Stewards.

Our solutions for your business

Make your data meaningful & discoverable with metadata.