Policy First Attribution
Attributes are tough to add to the inner workings of policy execution technology. That’s where most data acquisition efforts fall off the rails. Those in charge of the data can say “we have the data” and the decisioning system can say “it’s just not affecting much.” Suddenly the 10 basis point lift or five percent acceptance jump you were sold by your data vendor is cut by 75 percent.
Effective attribution requires a “business first” attribution implementation framework. If your attribution is in C code (or perhaps even COBOL) you are doing it wrong. If it can’t be read by a statistician, you are doing it wrong. If it doesn’t spit out validations at the push of a button, you are doing it wrong. Best practice systems are easily auditable. One glitch in implementation and the policy won’t work. Lack of access to unit-testable test cases means working and reworking the policy. It is easy to call these sorts of items the “minutia” of a system, but when looking for the culprit in why a policy took nine months, instead of one, to implement, these are your common causes.
Adding new data is the future. How it integrates into your system, your policy, and your customer interactions is dependent on the first system in the flow. We recently worked with a telecommunications provider that was trying to add a new telecommunications data source with a custom model. The whole process took all of three months from our end because the telco was already using our data acquisition framework. Others are still trying to figure out the kinks some 9 months after the data source was launched.
In our next blog, we will address improving data acquisition.
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