Data teams often focus on output when the critical thing to optimise is impact. Here are some tips on how to have impact no matter what data role you're in
Really nice article - I think it's difficult for companies to separate all these different roles and trying to "create" a hybrid version of all those skills (Ultron????) - how do you untangle those expectations between each role and also motivate the teams to keep on performing?
Really nice article - I think it's difficult for companies to separate all these different roles and trying to "create" a hybrid version of all those skills (Ultron????) - how do you untangle those expectations between each role and also motivate the teams to keep on performing?