Datasets:
Structured workforce capability data for 4.2M companies — feedback welcome
We're releasing a 300-company sample from a larger workforce intelligence dataset covering 4.2 million companies (55M+ records, 30 columns).
The dataset maps what companies are actually built to do — through skill concentrations, role composition, growth signals, and capability profiles. High-density coverage focused on 2018-2020 (pre-COVID workforce structure).
Each company-year expands into multiple capability rows ranked by workforce share, covering 14 normalized skill buckets (leadership, software engineering, sales/marketing, healthcare, finance, data analytics, etc.).
Useful for:
- Company classification and clustering
- Growth prediction models
- Workforce structure analysis
- Feature engineering (capability vectors, role embeddings)
- Pre/post-COVID labor market research
The sample is ready to load and explore. Would appreciate feedback from anyone working with company-level or workforce data — especially interested in what use cases people see for this kind of structured capability layer.
Full dataset available for commercial licensing: data@vivameda.com