Data Segmentation

Definition of Data Segmentation

The process of dividing data into distinct groups based on specific criteria.

Explanation of Data Segmentation

Data segmentation involves dividing a dataset into smaller, more manageable segments or groups based on specific criteria. This process helps businesses analyze data more effectively, uncover patterns, and make targeted decisions. Common segmentation criteria include demographics, behavior, and geographic location. By segmenting data, businesses can create personalized marketing campaigns, improve customer experiences, and optimize resource allocation. Data segmentation also supports advanced analytics and machine learning by providing more granular insights. Effective segmentation requires a clear understanding of the data and the objectives of the analysis. It is a critical step in data analysis and business strategy.

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.