Schema alignment
Define the fields, formats and delivery structure required by the receiving enterprise workflow.
Customer story · Travel technology
Corporate data enrichment designed for global operations.
In a global business ecosystem, company names and addresses arrive in inconsistent formats. The data has to be resolved, enriched and delivered in a structure that established enterprise systems can use.
CUSTOMERAmadeusTravel technology
Corporate data enrichment
Entity and address attributes
Validated enterprise delivery
The data requirement
Turn inconsistent business records into a usable company-data layer.
Enterprise source systems often contain fragmented company names, incomplete addresses and different conventions for the same legal entity. Those differences make matching, enrichment and downstream analysis unreliable.
The requirement is to align incoming business records to a defined schema, identify the corresponding company where possible and return enriched entity and address attributes through a controlled delivery process.
What the work demands
Four controls behind dependable corporate data enrichment.
The data must fit the customer’s environment—not force the customer to rebuild its systems around a provider’s raw records.
Entity resolution
Use legal identifiers, jurisdiction and available attributes to connect records to the correct company.
Attribute enrichment
Return consistent entity and address fields while preserving the available source context.
Quality validation
Apply controlled checks before delivery and make exceptions visible instead of silently forcing matches.
From input to delivery
A controlled enrichment workflow for enterprise data operations.
- 01Align
Agree the input structure, required output fields and validation rules.
- 02Resolve
Match each usable record to the corresponding legal entity using jurisdiction-aware evidence.
- 03Enrich
Add the agreed company and address attributes in a consistent schema.
- 04Validate
Check completeness and match quality before secure managed delivery.
The operating result
Company records prepared for use inside a global data environment.
The operating model converts inconsistent business inputs into structured, quality-controlled company records that can be integrated into existing enterprise data processes without obscuring uncertainty or source limitations.
Company identities normalised to an agreed structure Entity and address attributes enriched Ambiguous records kept visible for review Delivery aligned to enterprise ingestion
Customer-story disclosure
This public summary describes the corporate-data enrichment requirement and relevant Zephira capabilities. Customer-specific markets, volumes, dates, commercial terms, contacts and internal implementation details remain confidential.
Corporate data enrichment