From goal definition to implementation, we help you turn your ideas into reality and your data into effective action.
Acome was faced with the need to accelerate its industrial processes in order to respond more quickly to market needs. The company faced several challenges:
Find out how Acome revolutionized its decision-making management by providing its teams with a decision-support application thanks to the Saagie Data Factory!
Following an internal analysis, Murata identified the need to implement a new production process to meet a business requirement.
The company faced several challenges:
Find out how Saagie’s Data Factory was used to meet Murata’s business requirements.
Thanks to the technological expertise of the various teams and the joint work between Saagie and Murata, Murata’s industrial metrology process was created.
Immerse yourself in a world where collaboration and efficiency are the watchwords for accelerating your data projects.
To meet the transformation challenges impacting its markets, the company wanted to develop a portfolio of digital services while improving its operational efficiency worldwide.
Vallourec had identified three main challenges:
Find out how Vallourec adopted Saagie’s Data Factory to support its group-wide digital transformation!
Following an internal study, CSTB identified the need to build a data platform on which to process its business data.
It faced several challenges:
Find out how Saagie is accelerating CSTB’s digital transformation with its Data Factory, facilitating the work of the group’s teams!
To make better use of its data portfolio, But wanted innovative tools that would enable it to analyze its sales indicators in greater depth.
The group faced several challenges:
Find out how But integrated Saagie’s DataOps Platform to meet its needs for analyzing sales performance indicators.
Explore how Saagie is propelling companies towards a data-driven culture, transforming the way they work and innovate.
To meet the growing need for digitalization in the insurance sector, Matmut wanted a solution for developing a wide range of data products.
They faced several challenges:
Discover how Saagie’s DataOps Platform has become the central element of Matmut’s data strategy, enabling the development and production deployment of all its use cases!
To remain competitive, the Caisse d’Epargne Normandie wanted to inject data into all its decision-making processes.
It faced several challenges:
Find out how Saagie supported Caisse d’Epargne Normandie by offering its Data Factory to bring its initiatives to production.
Bouygues DTP Mining wanted to modernize its maintenance processes for mining vehicles operating in Africa.
The group faced several challenges:
Find out how Bouygues DTP Mining implemented Saagie’s DataOps Platform to improve the efficiency of its maintenance data analysis processes.
Heavily dependent on data analysis to advise its customers, Groupe BVA needed a centralized data platform on which to rely. The company faced several challenges:
Find out why BVA Group has selected Saagie and its Data Factory as the keystone for its behavioral data analysis offerings!
The group wanted to develop new projects based on Machine Learning, but faced several challenges
Find out how Saagie implemented a scoring model based on Machine Learning to meet the company’s needs!
