Chapter 11. Producing effective presentations
This chapter covers
- Presenting your results to project sponsors
- Communicating with your model’s end users
- Presenting your results to fellow data scientists
In the previous chapter, you saw how to effectively document your day-to-day project work and how to deploy your model into production. This included the additional documentation needed to support operations teams. In this chapter, we’ll look at how to present the results of your project to other interested parties.
We’ll continue with the example from last chapter: our company (let’s call it WVCorp) makes and sells home electronic devices and associated software and apps. WVCorp wants to monitor topics on the company’s product forums and discussion board to identify “about-to-buzz” issues: topics that are posed to generate a lot of interest and active discussion. This information can be used by product and marketing teams to proactively identify desired product features for future releases, and to quickly discover issues with existing product features. Once we’ve successfully built a model for identifying about-to-buzz topics on the forum, we’ll want to explain the work to the project sponsor, and also to the product managers, marketing managers, and support engineering managers who will be using the results of our model.
Table 11.1 summarizes the relevant entities in our scenario, including products that are sold by our company and by competitors.