Which of the following is most relevant to simplifying complex data for analysis?

Aggregation is a process that involves summarizing and combining data from multiple sources or records into a single cohesive dataset. This is particularly useful when dealing with large volumes of complex data, as it helps to highlight trends, patterns, and key metrics without the need to analyze every individual entry. For example, instead of looking at the details of individual sales transactions, aggregation allows you to see total sales per month, average transaction values, or sales by different product categories. This simplification makes it much easier to derive meaningful insights and make informed decisions.

In contrast, normalization focuses on organizing data efficiently within a database and ensuring data integrity, which, while important, is not directly related to the simplification of data for analysis. Data compression reduces the size of the data but does not necessarily simplify it for analysis. Presentation involves how data is visually displayed, which, while crucial for understanding the data, does not inherently simplify the underlying data structure or its complexity.