Clients needs often necessitate chaining of multiple (predictive as well as prescriptive and quite often a mix of the two) models - the output of one model will trigger the invocation of next model depending upon a complex (if-then-else) logic. This is very much a necessity for automated end-to-end decision making by firms. For example decisions generated by multiple models, after they are laid out in a workflow, will finally trigger the execution of automated marketing campaigns. A simple built in model orchestrator and a workflow engine (may be using a simple scripting language) could simplify chaining of multiple models in a big data environment.
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