
Generix Group apoints Sophie Pietremont as Chief Marketing & Communications Officer
Paris, June 18th – Generix Group today announced the appointment of Sophie Pietremont as Chief Marketing & Communications Officer (CMO).…
Generix Group apoints Sophie Pietremont as Chief Marketing & Communications Officer Read the press release

Data Lake: the key to processing company data
A data lake is a method of storing data in its natural format using big data. The solution stores all data transmitted including invoices, order tracking, product tracking, and warehouse, transport, and supply management. This sizeable amount of information is a source of untapped potential for companies.
According to Jean-Charles Deconninck, Chairman of Generix Group, “One of the challenges for big data today is storing as much data as possible in as much detail as possible so that new artificial intelligence or machine learning apps can use the data and unlock its full potential. But storage has a price tag attached, often a high one, and that forces companies to make tough choices. Our Generix Data Lake solution is an unlimited and completely secure solution at a very reasonable price compared to traditional storage packages.”
The best solution for storing Supply Chain data
Generix Group chose Big Data architecture for Data Lake’s technical setup.
Using Generix Data Lake companies can:
Specifically, the solution can:
With increasing customer demands, companies now have to measure themselves against the competition using reliable operational benchmarks. Generix Data Lake helps the Supply Chain community set up reference performance indicators so that each company can compare itself with others, completely anonymously, and then enact the changes and improvements needed to stay competitive.
Generix Data Lake is fully compliant with data protection regulations, including the GDPR. The solution also provides optimal data security access.
Moreover, Generix Data Lake can be deployed simply and quickly through the Generix Supply Chain Hub platform.
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