Data Aggregation

Definition of Data Aggregation

The process of collecting and summarizing data from multiple sources.

Explanation of Data Aggregation

Data aggregation is the process of collecting and combining data from multiple sources to create a unified dataset for analysis. This process involves gathering data from various platforms, such as databases, spreadsheets, and online services, and merging it into a single, comprehensive dataset. Data aggregation helps businesses gain a holistic view of their operations, customers, and market trends. By analyzing aggregated data, companies can uncover patterns, identify opportunities, and make informed decisions. Effective data aggregation requires proper data integration and management techniques to ensure accuracy, consistency, and relevance. It is a critical step in data analysis and business intelligence efforts.

This dictionary entry was written by

Per-Gulbrand Peter Braathen

With a foundation in doctoral-level research, Per-Gulbrand Peter Braathen is a seasoned expert in the areas of marketing, branding and communication. His proficiency extends to marketing management, branding and communication strategy. Braathen's experience is underscored by his rich background from various industries, including entertainment. A distinguished alumnus of the USC Marshall School of Business, Braathen boasts a Master of Science in Marketing, complemented by a Graduate Certificate in the Business of Entertainment from the USC School of Cinematic Arts as well as two undergraduate Bachelor degrees from the esteemed University of Southern California.