Data Normalisation
One data model. Multiple sources.
Different providers describe similar health data in different ways. WearSightful creates a consistent application layer so your engineering team can focus on your product instead of translating provider-specific APIs.
Why normalise wearable data?
Without a unified health data model, every new provider adds mapping work, edge cases and maintenance. Normalisation is a core part of WearSightful: a consistent data model across providers while retaining source metadata and data provenance.
Build against one API. Let WearSightful manage units, terminology, timestamps and provider-specific quirks.
- Consistent terminology
- Standardised units
- Source metadata
- Time-zone aware timestamps
- Data quality information
- Raw and normalised data options
- Extensible canonical model
Stop translating provider APIs by hand.
See how WearSightful turns fragmented wearable and health data into an application-ready model.