8 tips for hub and spoke success

How do you go about heading up a new data science function while addressing inevitable gaps between your central global data and analytics team and your regional operational teams in localised markets? 

Suddenly, you need to upskill your staff for self-serve analytics without established knowledge-share pathways in place and so training is happening on an ad hoc basis. Add to this, resistance to change, a limited budget, and high demand for your services, and you have got your work cut out. Two DataIQ members in the manufacturing space discussed the merits of the hub and spoke approach in this context.  

A hub and spoke model is the best chance for success.