Data Avangarde is an AI-based master data management platform to automate and secure the entire data production and repository management chain.
The significant increase in data volume poses a major challenge to companies in terms of both data quality and governance. As a result, data analysts spend more than half of their time searching, repairing, enriching and transforming data instead of analyzing it. The Data Avangarde solution aims to redefine this balance to allow to devote 90% of their activity to data analysis.
Offering an end-to-end business solution, Data Avangarde enables its users to automate and secure the entire data production chain, from unstructured sources, and repository management, neither with any computer code line nor assistance.
Fortia aims to achieve a significant improvement in data quality, to achieve a reliability rate of more than 99% and a reduction of more than 90% in data processing and repository costs.
A powerful and adaptable platform
The platform includes of three « layers », including data integration, process and distribution. Data Avangarde is able to extract data whether it is structured or unstructured.
The algorithms operate a data curation, enrichment, transformation, qualification and a 100% validation of the data before it is transmitted to the customer. It allows business users to get accurate data in the right format.
Data Avangarde stands out for its UI and UX. Designed to be accessible to all users, the platform allows to easily configure reportings, dashboards and analytics tools. These choices can be made independently or rely on the algorithm proposals that provides a consistent data set meeting the customer’s needs.Discover our business case
“We are convinced that data will become one of the companies’ most important assets when processed with smart solutions and high capabilities for automatic learning. Therefore, Fortia’s artificial intelligence laboratory has been developing revolutionary algorithms for several years now that will not only transform each company into its own data provider but also enable it to implement a real strategy for managing its repositories.”
Réda Bouakel, CEO
The result of an R&D process carried out over several years by the Data Scientists in Fortia’s AI Research Lab
Proprietary algorithms increasing the machine’s ability to understand and interpret the business language
Operational data models can be easily created, enabling follow-up and traceability of processes