« Décideur » : différence entre les versions


(Page créée avec « Decision-making skills have to be in place before a team can get value out of data. This individual is responsible for identifying decisions worth making with data, framin... »)
 
Aucun résumé des modifications
Ligne 1 : Ligne 1 :
== Domaine ==
[[Category:Vocabulary]]Vocabulary<br />
<br />
== Définition ==
texte ici
<br />
== Français ==
'''terme_français'''
<br />
== Anglais ==
'''Decision-Maker'''
Decision-making skills have to be in place before a team can get value out of data.
Decision-making skills have to be in place before a team can get value out of data.
This individual is responsible for identifying decisions worth making with data, framing them (everything from designing metrics to calling the shots on statistical assumptions), and determining the required level of analytical rigor based on potential impact on the business. Look for a deep thinker who doesn’t keep saying, “Oh, whoops, that didn’t even occur to me as I was thinking through this decision.” They’ve already thought of it. And that. And that too.
This individual is responsible for identifying decisions worth making with data, framing them (everything from designing metrics to calling the shots on statistical assumptions), and determining the required level of analytical rigor based on potential impact on the business. Look for a deep thinker who doesn’t keep saying, “Oh, whoops, that didn’t even occur to me as I was thinking through this decision.” They’ve already thought of it. And that. And that too.
file:///C:/Users/user/Documents/texte%20mars/Top%2010%20roles%20in%20AI%20and%20data%20science%20–%20Hacker%20Noon.pdf
file:///C:/Users/user/Documents/texte%20mars/Top%2010%20roles%20in%20AI%20and%20data%20science%20–%20Hacker%20Noon.pdf

Version du 9 mars 2019 à 10:30

Domaine

Vocabulary


Définition

texte ici


Français

terme_français


Anglais

Decision-Maker

Decision-making skills have to be in place before a team can get value out of data. This individual is responsible for identifying decisions worth making with data, framing them (everything from designing metrics to calling the shots on statistical assumptions), and determining the required level of analytical rigor based on potential impact on the business. Look for a deep thinker who doesn’t keep saying, “Oh, whoops, that didn’t even occur to me as I was thinking through this decision.” They’ve already thought of it. And that. And that too. file:///C:/Users/user/Documents/texte%20mars/Top%2010%20roles%20in%20AI%20and%20data%20science%20–%20Hacker%20Noon.pdf