CEOs are most likely to seek outside help optimizing financial returns across a portfolio of subsidiaries or business units. Robust analytical techniques are readily available if certain assumptions are acceptable, e.g. normally distributed random variables and a presumption that the entity's behavior is insignificant with respect to the market at large. Market makers must also model the surrounding economics.
COOs, operations and logistics managers are more likely to need help implementing online analytics (OLAP), decision support systems, and real-time quality assurance.