Data Harmonization

Definition of Data Harmonization

The process of integrating and standardizing data from different sources to create a unified dataset.

Explanation of Data Harmonization

Data harmonization is the process of aligning and standardizing data from different sources to ensure consistency and comparability. This involves resolving discrepancies, such as variations in data formats, units of measurement, and naming conventions, to create a unified dataset. Data harmonization is crucial for accurate analysis and reporting, as it allows for seamless integration and comparison of data from diverse sources. By harmonizing data, businesses can gain a holistic view of their operations, improve data quality, and support informed decision-making. Effective data harmonization requires clear data governance policies, standardized data models, and robust data integration tools.

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.