In which process is data gathered and presented in a report-based format for analysis?

Data aggregation refers to the process of collecting and summarizing data from various sources, often combining it into a more usable format that allows for easier analysis and reporting. This process involves gathering information from multiple datasets and synthesizing it into a consolidated form, presenting it in a way that highlights trends, patterns, and insights.

Through data aggregation, raw data is transformed to expose meaningful relationships and is typically organized in a structured manner, making it ready for further analysis or reporting. This helps stakeholders understand the larger context of data and supports decision-making processes based on the aggregated insights.

In contrast, data presentation focuses specifically on how data is visually displayed and communicated but does not necessarily involve the aggregation process itself. Data compilation refers strictly to the act of bringing together data, while data analysis is the examination of the aggregated data to derive conclusions or insights. Thus, the emphasis in this context is on the collection and summarization aspect, which makes data aggregation the correct choice.