Hai cercato la traduzione di meaningful da Italiano a Francese

meaningful use della cartella clinica (usa)
utilisation pertinente

the commission warns the united kingdom that it will inform interested parties by publishing this letter and a meaningful summary of it in the official journal of the european union.
the commission warns the united kingdom that it will inform interested parties by publishing this letter and a meaningful summary of it in the official journal of the european union.

the commission wishes to remind the united kingdom that it will inform interested parties by publishing this letter and a meaningful summary of it in the official journal of the european union.
the commission wishes to remind the united kingdom that it will inform interested parties by publishing this letter and a meaningful summary of it in the official journal of the european union.

(37) the commission warns the united kingdom of great britain and northern ireland that it will inform interested parties by publishing this letter and a meaningful summary of it in the official journal of the european union.
(37) the commission warns the united kingdom of great britain and northern ireland that it will inform interested parties by publishing this letter and a meaningful summary of it in the official journal of the european union.

data isn’t enough by itself. using data in the right way can facilitate phenomenal experiences for the customer and healthy profits for your business. and yet finding meaningful information within large volumes of data is often a huge challenge – the technologists know how to extract data but don’t necessarily know what kind of behavioural analytics they’re looking for, and the business people know what they’re looking for but not now to access it.
les données ne sont pas suffisantes en soi. utiliser les données de façon correcte peut procurer une expérience phénoménale au client et de bons bénéfices à votre entreprise. trouver des informations au sein de grands volumes de données est par ailleurs souvent un défi de taille – les technologues savent comment extraire des données mais ne savent pas nécessairement quel genre de comportement analytique ils recherchent, et les gens d'affaires savent ce qu'ils cherchent mais pas comment y accéder.