Data Normalization

Definition of Data Normalization

The process of organizing data to minimize redundancy and improve data integrity.

Explanation of Data Normalization

Data normalization is the process of organizing data to reduce redundancy and improve data integrity. This involves structuring data into tables and relationships that minimize duplication and ensure consistency. Normalization typically follows a set of rules, known as normal forms, which guide the design of the database schema. By normalizing data, businesses can enhance data quality, simplify data maintenance, and improve query performance. This process is crucial for ensuring accurate and reliable data for analysis and decision-making. Effective data normalization requires careful planning and understanding of the data requirements and relationships within the organization.

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.