Data Enrichment

Definition of Data Enrichment

The process of enhancing existing data by adding additional information from external sources.

Explanation of Data Enrichment

Data enrichment involves enhancing existing data by adding additional information from external or internal sources. This process improves the quality and value of the data, providing deeper insights and more comprehensive analysis. For example, enriching customer data with demographic information, purchase history, and social media activity can help businesses better understand their target audience and personalize marketing efforts. Data enrichment can involve various techniques, such as appending, cleansing, and validating data. By enriching data, businesses can improve decision-making, optimize marketing strategies, and enhance customer experiences. Ensuring the accuracy and relevance of enriched data is crucial for maximizing its benefits.

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.