What is Data Enrichment? Process, Sources & Business Benefits

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A professional-level summary covering key definitions, frameworks, and exam-relevant points.

Data Enrichment Types and Examples

Type	Source	Example	Business Value
Internal enrichment	Other internal systems	Add purchase history to customer record	360° customer view
External enrichment	Third-party data providers	Add firmographic data to B2B leads	Better lead scoring
Derived enrichment	Calculated from existing data	Calculate customer lifetime value	Customer segmentation
Reference data enrichment	Standard code sets	Add ISO country codes to addresses	Data standardization
Geographic enrichment	GIS / mapping services	Add coordinates, region, timezone to addresses	Location analytics

CDMP Exam Relevance

Data enrichment is tested in the Data Quality knowledge area (11% of the CDMP exam) and the Data Integration & Interoperability knowledge area (6%). Key exam topics include: the definition and types of data enrichment, the difference between enrichment and cleansing, the sources of enrichment data (internal vs external), and the role of enrichment in improving data completeness and analytical value. Data enrichment is also relevant to Master Data Management questions, as enriching master data records is a common MDM activity.

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