Data aggregation is the process of gathering organic data and presenting it in a usable and accurate manner. The data is often gathered from multiple sources and merged in order to provide accurate statistical analysis. Without data aggregation, it is challenging to work with data analytics or business intelligence.
Aggregation is often done on a large scale using Data Aggregators, the software used for the process. Data aggregators frequently include features for collecting, analyzing, and displaying aggregated data.
The process of gathering data is administered in three steps:
- Collecting: During the information gathering process, data is extracted from one or more sources using aggregation tools.
- Analyzing: The acquired data is "cleaned" during the processing stage, and any mistakes or formatting issues are fixed.
- Presenting: Data is presented in a comprehensive format (normally, charts or statistics) for laymen after it has been gathered and processed through different stages.
Data aggregation software is helpful in a variety of disciplines, including those associated with finances and company strategy, product planning, product and service pricing, operations optimization, and the developing marketing strategies. Its users vary from data analysts and data scientists to non-technical users.
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