Data Quality

Definition of Data Quality

The condition of data based on factors such as accuracy, completeness, reliability, and relevance.

Explanation of Data Quality

Data quality refers to the condition of data based on factors such as accuracy, completeness, consistency, and reliability. High-quality data is essential for effective decision-making, analysis, and business operations. Ensuring data quality involves implementing processes and tools for data validation, cleansing, and monitoring. Common data quality issues include duplicate records, missing values, and incorrect entries. By addressing these issues, businesses can improve data accuracy and usability. Maintaining high data quality requires ongoing efforts and a strong data governance framework. Businesses must prioritize data quality to maximize the value of their data assets and support data-driven initiatives.

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.