What does the 'Prepare' step in DDDM primarily focus on?

The 'Prepare' step in data-driven decision making (DDDM) primarily focuses on collecting data. This step is crucial because it lays the foundation for any subsequent analysis or decision-making. In order to make informed decisions based on data, organizations first need to gather relevant, accurate, and sufficient data from various sources.

Effective data collection ensures that the data being analyzed is relevant to the business questions at hand, and it provides a comprehensive view that supports later analysis, modeling, and visualization phases. After data is collected, it can then be cleaned, processed, and transformed to be suitable for analysis, which allows for trends to be identified and appropriate visualizations to be established.

The other options relate to subsequent steps in the data analysis process. Analyzing trends comes after data collection, as does establishing data models and setting visualization goals. Collecting data is the critical first step before any of these can occur.