What does 'data aggregation' involve?

Data aggregation involves compiling and summarizing data from multiple sources, which allows for a comprehensive view of information that can lead to better insights and decision-making. By gathering data from various sources, it is possible to identify patterns, trends, and correlations that may not be evident when examining data in isolation. This process is essential in data-driven decision-making as it helps organizations to analyze collective data sets, enhancing the quality and depth of analysis.

In contrast to sorting and filtering data, which focuses on organizing existing datasets for efficiency, data aggregation emphasizes the collection and unification of data. Collecting data from a single source does not provide the broad perspective required for thorough analysis, and converting raw data into visual formats, while useful for interpretation, does not inherently involve the process of aggregation. Thus, the correct understanding of data aggregation highlights its role in enhancing data analysis by integrating multiple data sources.