Beneficiaries

I see two groups of companies deriving benefit from Decisions-as-a-Service.

1.  Direct users.  These are folks who wish to implement automated decisioning logic themselves.  Examples are far and wide, including in marketing, membership management, credit policy, fraud policy, and so forth. This normally requires some level of sophistication from the users as they have to get down into the nuts and bolts of formulating decision flows.  Depending on the platform used this may require significant IT resources or, for more business friendly applications, a decent business analyst.
2. End-solution providers.  For example, many smaller analytics shops do not have the facilities to host their models of solutions themselves.  So, what often happens is that they "partner" with large servicing providers to do the hosting for them.  The issue with this is that these "partners" in the final analysis really couldn't care less about the smaller shops, so time and again the smaller shops get thrown under the bus.  The smaller shops can benefit tremendously from an independent provider of hosting services specifically designed for the delivery of analytical decisioning solutions.