Hub-and-spoke analytics model

The hub-and-spoke model is a way of organizing an analytics function so that a central "hub" team owns shared standards, tooling, data definitions and governance, while "spoke" analysts sit embedded within individual business units, close to the stakeholders and questions they support day to day. It is one of several common ways to structure analytics teams, alongside fully centralized and fully decentralized arrangements.

In a fully centralized model, all analysts report into one team and are staffed out to projects as needed; in a fully decentralized model, each business unit hires and manages its own analysts independently, with little coordination between them. Hub-and-spoke sits between the two: spoke analysts typically have a dotted-line or direct reporting relationship to the hub for standards and career development, while their daily priorities come from the business unit they serve.

Organizations adopt this model to get the domain closeness of embedded analysts without losing the consistency, shared tooling and reusable definitions, that a central team provides; the hub often functions as, or reports through, an analytics center of excellence. Its main challenge is governance friction: spoke analysts can drift toward their business unit's local practices over time, so the hub needs a clear mandate and regular touchpoints to keep standards from eroding, a maturity concern often tracked through an organization's analytics maturity model.