What is the purpose of data aggregation?

Question

Data aggregation is often used to provide statistical analysis for groups of people and to create useful summary data for business analysis. Aggregation is often done on a large scale, through software tools known as data aggregators.

Why is data aggregation important explain it with example?

For example, raw data can be aggregated over a given time period to provide statistics such as average, minimum, maximum, sum, and count. After the data is aggregated and written to a view or report, you can analyze the aggregated data to gain insights about particular resources or resource groups.

What is the main purpose of aggregates in data warehouse?

Data aggregation is the process where data is collected and presented in a summarized format for statistical analysis and to effectively achieve business objectives. Data aggregation is vital to data warehousing as it helps to make decisions based on vast amounts of raw data.

What is data aggregation example?

For example, Google collects data in the form of cookies to show targeted advertisements to its users. Facebook is doing the same thing by collecting and analyzing the information and show ads to its users.

What data aggregation achieves?

A process in which data is searched, gathered, and presented in a summarized, report-based form, data aggregation helps organizations to achieve specific business objectives or conduct process/human analysis at almost any scale.

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