Data Profiling

Definition of Data Profiling

The process of examining data to understand its structure, content, and interrelationships.

Explanation of Data Profiling

Data profiling is the process of examining and analyzing data to understand its structure, quality, and content. This involves identifying data patterns, relationships, and anomalies to assess data accuracy, completeness, and consistency. Data profiling helps businesses gain insights into the current state of their data, identify quality issues, and plan data cleaning and transformation efforts. By understanding the characteristics of their data, organizations can improve data quality, enhance decision-making, and ensure compliance with data standards and regulations. Data profiling tools and techniques are essential for effective data management and governance.

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.