Process Data
Deliver datasets that are ready to activate.
Validate, clean, enrich and transform data before it reaches your business systems.
Operational data is loaded raw and fixed later.
Datasets arrive from multiple sources with duplicates, missing fields and inconsistent values.
Data scattered across sources
Duplicates and gaps
Inconsistent values
No validation before loading
The workflow
- 1 Input
- 2 Validate
- 3 Enrich
- 4 Transform
- 5 Output
What is included
- Multi-source input
- Validation rules
- Cleaning and dedup
- Enrichment
- Transformation and output
Inside the application
Datasets being validated, enriched and transformed before output.
States, rules and responsibilities
Every dataset passes through validation, enrichment and transformation rules.
- Stages: Input, Validated, Enriched, Transformed, Output
- Rules: required fields, formats, duplicates
- Responsibilities: data owner and reviewer
- Full change history
Expected operational result
Systems receive clean, validated and enriched data.
Less rework
Cleaner imports
Faster activation
Adapted to your context
Configured to your data sources, rules and destination systems.
- Your source files and APIs
- Your validation rules
- Your enrichment logic
- Your output format
Integrations
- Files and APIs
- Databases
- Business systems
- Automation tools
Progressive rollout
Diagnose
Map data sources and current quality.
Configure
Adapt validation and enrichment.
Launch
Process a first dataset.
Expand
Add sources and transformations.
Data Validation & Enrichment
Validate, clean, enrich and transform data before it reaches your business systems.