Summary
After reading this chapter, we now have a better understanding of data and analytics projects, as well as the project approach that we can take. With those skills, you can manage and practice them in projects, identify typical risks in data and analytics projects, and define mitigating measures.
We discussed the steps within and approach toward data and analytics projects, as well as the setup of the first part of a project using the waterfall method and combining it with an incremental approach after the planning phase. We also addressed the need for multiple people, or actors, in your projects. The most important step in delivering increments (or sprints) and finishing your project is to evaluate and learn how to do things even better in the future. We discussed the STARR methodology, which can help you reflect and evaluate in a structured manner.
In the final section of this chapter, we discussed the business case and walked you through the various steps of writing...
