Data and Business Intelligence Glossary Terms

Data Aggregation

Data Aggregation is kind of like making a smoothie out of different fruits. It’s the process of pulling together data from various sources and combining it into a single, summarized format. In business intelligence, this means taking chunks of data from different places — like sales figures from different stores or website traffic from different pages — and putting them together to create a clearer, bigger picture of what’s happening.

Businesses use data aggregation to get a better understanding of their overall performance. It’s easier to spot trends and make decisions when you’re looking at the total number of sales across all stores instead of each one individually. Plus, it can help businesses spot where things are going well and where they might need to make some changes.

For data analysts, aggregation is a key step in turning raw data into something that’s actually helpful for businesses. It’s about summarizing all that info in a way that’s easy to understand and use. This way, businesses can quickly get a sense of the big trends and make informed decisions without getting bogged down in the nitty-gritty details.


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