Overview
Data enrichment is the process of enhancing raw data by adding relevant and valuable information from external or internal sources. This process aims to improve data accuracy, completeness, and usability for better decision-making and analytics. Enrichment techniques include appending demographic, geographic, or behavioral data, correcting errors, and filling gaps in datasets.
Businesses use data enrichment to gain deeper insights into customers, optimize marketing strategies, and streamline operations. By transforming basic data into actionable intelligence, organizations can make informed decisions, improve customer experiences, and achieve targeted outcomes. This process ensures that data remains a valuable asset in a competitive landscape.
