TABLE OF CONTENTS The road that leads from raw data to deployed mined model is not a straight one, but this chapter is the home stretch. After considerable effort to create a simple, reliable, and robust model or one as simple, reliable, and robust as the business problem and data permit it's time to take the result of the hard work and use it to get some business value from all the effort. It is, in other words, time to deploy it.
This chapter looks at the technical issues concerned with deploying a mined model. Chapter 8 in Part II has already looked at the business issues. However, the technical deployment of a mined model and the business deployment of a data-based business model are two parts of a single whole. The two deployment chapters, while discussing many deployment issues that are separate, also intertwine several themes because, in the end, these are not separate issues. The mined model must solve, or at least address, business issues, and the business issues have to be so framed that they lead to a solution through mining data. In this sense, these two chapters fit together like two pieces of a jigsaw puzzle.
An explanatory model has to tell a story. Plain and simple, deploying an explanatory model is no more than delivering a narrative explanation of the world supported by the facts (data). It's a special sort of story, and it has to tell about particular features, but it is a story nonetheless.
