Which of the following is NOT a step in the prediction building process?

In the context of the prediction building process, the focus lies on how predictions are constructed and integrated into business activities. An effective prediction building process typically involves defining specific use cases to understand the business problem, creating workflows to manage how data flows and is utilized, and integrating predictions into existing business workflows to ensure that insights are actionable.

Analyzing raw data, while crucial in data science and machine learning, is not explicitly part of the prediction building mechanics itself; rather, it serves as a foundational step that occurs prior to the prediction process. This step involves understanding and preparing the data, but is not directly involved in the process of building predictions per se. Thus, it stands out as the option that does not fit within the specific steps for building predictions within the structured process.