What does the term “data aggregation” refer to?

Data aggregation refers to the process of collecting and summarizing data from multiple sources to provide insights into larger trends and patterns. This technique is crucial in business analytics as it allows organizations to consolidate data and derive meaningful interpretations that can guide decision-making. By aggregating data, analysts can reveal insights that may not be visible when looking at raw data points individually.

In contrast, sorting data in an ascending order relates more to organizing existing data rather than summarizing it. Merging different databases is a different concept, focusing on combining data from various sources rather than summarizing. Cleaning raw data involves preparing data for analysis by removing inconsistencies and errors, but it does not inherently involve summarizing or providing an overview of data trends. Thus, the emphasis of data aggregation on summarization distinguishes it from these other processes.