dataenrichment
Data enrichment is the process of enhancing an existing dataset by adding additional information from external or derived sources to improve its value for analysis, decision making, and operational use. By augmenting records with extra attributes such as demographics, firmographics, behavior, or contextual signals, organizations can achieve a more complete and current view of entities and events.
Enrichment typically involves data matching and identity resolution to align records, followed by merging or linking
Common applications include marketing and sales insights, customer 360 views, fraud detection, credit scoring, supply chain
Key challenges are data licensing and cost, data quality and compatibility, identity matching accuracy, latency in