Data aggregation is basically taking a bunch of raw data and summarizing it into something more useful. Like, if you have sales data for every single transaction, aggregating it might mean showing total sales per month instead.
It works by grouping data based on certain criteria (like time, category, etc.) and then applying functions like sum, average, or count. You can do it manually in Excel, but tools like Tableau, Power BI, or even SQL make it way easier.
Why’s it a big deal? Because no one wants to stare at 10,000 rows of data—aggregation helps spot trends fast.
It works by grouping data based on certain criteria (like time, category, etc.) and then applying functions like sum, average, or count. You can do it manually in Excel, but tools like Tableau, Power BI, or even SQL make it way easier.
Why’s it a big deal? Because no one wants to stare at 10,000 rows of data—aggregation helps spot trends fast.