Solutions

Meta Analysis offers a solution to different issues

Data Mesh

Why Data Mesh?

Because of the importance of DATA for organizations and the volume of data generated, Data Mesh will meet the needs for business agility.

This will allow you to have partial or total autonomy in the appropriation of data from “domains” (Department, BU, Country, Continent). This appropriation is in the storage, preparation, quality and analysis of data. The Data Mesh will therefore respond to 3 challenges:

Meet the analysis needs of “domains”
Unclog central services
Avoiding shadow IT due to lack of responsiveness

Appropriation by the “domains” requires having global operating rules to ensure the consistency of all DATA in the organization.

Why Meta Analysis for Data Mesh governance?

Federated governance is the key issue of coherence
The governance provided by Meta Analysis has been in the foundations of the solution from the beginning. Federated governance is therefore native with the management of roles by domain.

The division into “Data Domains” is an organizational issue
For 15 years, we have had the notion of security “Domains”, which allow us to provide access and visualization based on rights. The “Data Domains” are therefore configurable after analysis.

The addition of Data Products
As the Meta analysis metamodel is fully configurable, we added the metadata linked to the Data Product. This model is adaptable to your organization and allows you to visualize Data Products, Data Contracts and their impact with Datalineage.

Mapping your Data platform
Using native connectivity, Meta analysis can automatically map your DATA platform and monitor its developments.

AI products

How to govern AI products with Meta Analysis

Artificial Intelligence opens up new opportunities for value creation and transformation.

AI also brings new regulatory constraints and governance issues, in terms of data and uses.
Meta Analysis allows you to optimize the monitoring of your AI products internally and for control bodies.

Reference AI products
Your AI products are documented and classified, with their description, related policies and standards, and the data used. This makes it possible to explain uses internally according to defined policies.

Understanding the impacts with Data Lineage
Meta Analysis allows you to visualize the data that powers your models, including its quality score or whether it is personal data. This lineage allows you to understand the technical and functional dependencies of your projects.

Being able to explain to control bodies
The European AI Act and the CNIL in France determine the criteria for the use of AI with which companies must comply. Meta Analysis allows you to have transparency towards these control bodies.