Data Aggregation is any process where data is gathered and expressed in a summary form. Data aggregation is often used to enable statistical analysis of large data sets for business intelligence (BI) and analysis.
Data aggregation is often done on a large scale, through software tools known as data aggregators. Data aggregators typically include features for collecting, normalizing (processing), anonymizing, and presenting aggregate data. Data aggregators help business analysts examine large data sets more easily. Data aggregation is presented in ways that removes personal information from the data set (aka: anonymization or de-identification).
Some examples of data aggregation are:
- Graduation rates for schools
- Voter turnout by state or county
- Average age of consumer for a specific product
We live in the era of big data and data monetization. Understanding the impact of data aggregation and business intelligence can help most businesses improve their profitability, customer satisfaction, support and much more.
Source: TechTarget
Additional Reading: Data Aggregation May Be The Key To Building The Bank Of Google
Related Terms: Data Mining
