Data aggregation is a process where raw data is gathered and expressed in the form of a summary for statistical analysis. Data aggregation may be done manually or through specialized software called automated data aggregation. For example, new data can be aggregated over a given period to provide statistics such as  sum, count, average, minimum, maximum. After the data is aggregated and written to view or report, you can analyze the aggregated data to gain useful insights about particular resources or resource groups.

What is Data Aggregation

Data aggregation is any process that includes gathering of data and expressed in the summary form for purposes such as statistical analysis. It is essential to collect high-quality, accurate data and a large enough amount to create consistent results. Data aggregation is beneficial for everything from finance or business strategy decisions to product, pricing, services, and marketing strategies.

Data aggregation is an element of business intelligence (BI) solutions. Data aggregation personnel or software search databases find relevant search query data and present data findings in the summarized format that is meaningful and useful for the end-user or application.

Data aggregation generally works on the big data or data marts that do not provide enough information value as a whole.

There are two types of data aggregation.

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