I think that "operational analytics" covers a portion of what the OP meant: allowing data analytics to help run and make business decisions at a day to day leve

I think that "operational analytics" covers a portion of what the OP meant: allowing data analytics to help run and make business decisions at a day to day level. > Using amazon or azure to host your service? Yes, the the cloud helps businesses understand, manage costs, and scale without the headaches of haggling with Oracle or enterprise providers. Also, less in-house infrastructure labor needed. Cloud is even easier if a data service provider is managing it for you. > Charging by subscription rather than upfront? Yes, SaaS margins and cash flow structure are something investors love about the data services space. SaaS is not going away. > Mining your customer's data for fun and profit? Well, enabling your customer companies to mine their own data for their fun and profit, with less engineering labor and more operable outputs.