Quality control tools are explicitly named on the official NewVision site as part of the platform’s approach to ensuring data availability, quality and consistency. They are presented together with data integration mechanisms and a unified data model.
Where it is used / why it matters
These tools matter because data does not become useful for operations simply by being collected. In the NewVision context, quality control tools support validation, reliability and readiness for decision-making across planning, analytics and engineering use cases.
Key points
- Explicitly named on the main site.
- Used together with data integration tools.
- Support validation and reliability of data.
- Part of the platform’s data-readiness story.
Related concepts
See also data quality, data consistency, data integration and Data quality control.