Whether Big Data as a Service saves you any money depends on how big your big data actually is, where it is centralized, and how long it takes it to get that big in the first place. Having petabytes of data collected over a five-year period is a different situation from having petabytes generated over the course of a few hours. Value propositions are often complicated questions for this reason. It’s hard enough for a purely technical organization to get it right; it’s even harder at organizations where the only people with enough knowledge to advise on these issues are vendors.
