Data enrichment services
Enrichment makes your own data more valuable by adding external context. This guide covers data enrichment, how it works, and how to do it well.
Available across the EU. DataSupplier sources and delivers this data in all 27 European Union countries — including Germany, France, Spain, Italy, the Netherlands and Poland — and across the EEA, in the format and cadence you need.
What enrichment is
Data enrichment adds external attributes to your existing records, appending firmographics to companies, demographics to addresses, geocodes to locations. It turns thin records into richer ones.
Matching is the foundation
Enrichment depends on matching your records to external data, by name, address, identifier or location. The quality of the match determines the quality of the enrichment; poor matching appends wrong attributes.
Common enrichments
- Firmographic: company attributes.
- Geographic: geocodes and area data.
- Demographic: area or household context.
- Risk: scores and indicators.
Accuracy and privacy
Match rates and accuracy vary, so measuring them matters. Where enrichment involves personal data, the GDPR applies, including a lawful basis and transparency.
Sourcing considerations
Provenance, match quality and licensing for the appended data are central. Over-enrichment (appending more than needed) adds cost and risk.
In a managed model
A managed partner can enrich your records with matched, licensed external attributes and document match quality.
Match quality determines enrichment quality
Enrichment appends external attributes to your records, but it is only as good as the match that links them. Poor matching attaches the wrong attributes, so measuring match rate and accuracy, and choosing the right keys (identifier, address, geocode), is central. Over-enrichment, appending more than the use needs, adds cost and risk without value.
Privacy and provenance
Where enrichment involves personal data, the GDPR applies, including a lawful basis and transparency. Provenance and licensing of the appended data matter as much as the match, so the enriched dataset can be trusted and, where needed, audited.
- Enrichment adds external context to your own records.
- Match quality determines enrichment quality.
- Measure match rates and accuracy.
- Mind the GDPR and avoid over-enrichment.
Sources & further reading
- DAMA-DMBOK: data enhancement and matching.
- EUR-Lex: Regulation (EU) 2016/679 (GDPR).
- Reference and geocoding standards.
- Internal practice: DataSupplier enrichment.
We enrich your records with matched, licensed external attributes and document match quality. Get a no-obligation quote.