What are advantages of data aggregation?
- What is the purpose of data aggregation?
- What is data aggregation?
- What could the consequences of data aggregation be?
- What is an example of data aggregation?
What is the purpose of data aggregation?
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.
What is data aggregation?
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 could the consequences of data aggregation be?
Aggregation, however, can generate problems of its own. Not only does it lead to a loss of information, it can also leave analyses vulnerable to the "ecological fallacy": the drawing of false inferences about individual behavior on the basis of population level ("ecological") data.
What is an example of data aggregation?
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.
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