What is the first step to identify silver-level data?

Identifying silver-level data begins with determining what data is needed. This step is crucial because it sets the foundation for the entire data processing workflow. Understanding the specific requirements and the types of insights that the analysis aims to generate will guide the selection of relevant datasets.

This initial assessment helps in establishing the context of the data usage, ensuring that only pertinent and valuable information is considered. By clarifying the goals and the aspects of the data that matter, analysts can avoid unnecessary complexities and focus on the data that truly supports the intended analysis.

Once the needed data is identified, subsequent steps such as accessing, cleaning, and transforming the data can be efficiently carried out, as these processes will be aligned with the identified requirements. Thus, starting with a clear understanding of the data needed facilitates a more streamlined and effective data management and analysis process.