Federal Statistical Office
Plausi++ checks for university personnel statistics
Plausi++ found structural differences in Swiss university personnel data
Problem
University personnel statistics needed consistent reporting across institutions.
Approach
Plausi++ used supervised learning to flag unexpected personnel records. The office discussed structural differences with universities and refined the algorithm when needed.
Results
No published figures
Takeaway
Unexpected records prompted discussions with institutions rather than automatic corrections.
Categories
- Industry
- Public sector
- Business function
- Internal work and knowledge management
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Goal
- Quality and risk
- Evidence
- Company's own claim
Sources
Source summaries
[1]Federal Statistical Office, CNAI20 Jan 2026
The register listed Plausi++ in production. It reported high underlying data quality and structural differences between universities.
Full details are in the original sources.
Added 1 Nov 2026 · Updated 1 Nov 2026