From the course: Data Science Foundations: Data Assessment for Predictive Modeling
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Why formal reports are important
From the course: Data Science Foundations: Data Assessment for Predictive Modeling
Why formal reports are important
- [Instructor] When we first introduced CRISP-DM and we looked at the task list, we mentioned that the documentation requirements for each task are listed in italics, but there's another part of the document that talks about documentation. That's part four. What part four does is it talks about more summary reports at the end of each phase. Part four is shown at the end of the document. We'll advance to the end here. Here we go. Now let's talk about how part four works, but notice that the idea behind part four is to focus on the end of the phases, not while you're doing the tasks. So here's how it's described in part four. We really have two separate aspects here. While you're performing the tasks and then a summary at the end. Let's face it, no one enjoys writing or even reading reports, but let me try to make the case for why it's so important. I've been an external resource most of my career, and I've always…
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