Have you ever been frustrated when you have to search through a large database in order to get the information you need? Do you wish there was a way for all of that data to be organized and summarized in a way that was easier to comprehend?

Data aggregation is the process of compiling typically [large] amounts of information from a given database and organizing it into a more consumable and comprehensive medium. Data aggregation can be applied at any scale, from pivot tables to data lakes, in order to summarize information and make conclusions based on data-rich findings. Because of the growing accessibility to information and the importance of personalization metrics across the enterprise, the application of data aggregation has become extremely relevant. The use case is industry-agnostic and is often critical to the success and continuous improvement of organizational operations across the world.

a aggregation is an important tool in the realm of data analytics. Data aggregation helps organizations to achieve specific business objectives or conduct process/human analysis at almost any scale. Data is one of the most valuable currencies of our time, but data without organization, segmentation, and understanding is essentially useless. What makes data valuable is the extraction of insights that point to key trends, results, and give a better understanding of the information at hand. 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.