Data Integration

Definition of Data Integration

The process of combining data from different sources into a single, unified view.

Explanation of Data Integration

Data integration is the process of combining data from different sources into a single, unified view. This involves extracting, transforming, and loading data from various databases, applications, and systems to create a consolidated dataset. Data integration is essential for providing a comprehensive and accurate view of business operations, enabling effective analysis and decision-making. By integrating data, businesses can eliminate data silos, improve data quality, and enhance collaboration across departments. Tools and technologies used in data integration include ETL (Extract, Transform, Load) processes, data warehouses, and integration platforms. Successful data integration requires careful planning, data governance, and ongoing maintenance.

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.