Social research and impact measurement · DataCultura
datacultura.org
Real impact measurement with scales and ML models.
Cultural organizations and publicly-funded programs report impact with inconsistent scales, without rigorous statistical treatment nor defensible methodology. datacultura.org delivers an operational lab where instruments are designed, raw data is processed with statistical and ML analysis, and reports are published with methodology defensible to funders and academia.
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Retos
- Standardize socioemotional impact measurement across a sector with dispersed practices.
- Process raw data without losing statistical rigor or mixing incompatible scales.
- Deliver reports with methodology defensible to funders.
- Integrate Tcultura data (ticketing and field surveys) and enrich it with ML.
Solución
- Instrument design with scientific scales: Piers-Harris, DASS-21, Subjective Wellbeing, Social Inclusion, NPS.
- Automatic analysis pipeline with ML models over impact data.
- Tcultura integration for direct ingestion of field responses collected with Flutter app.
- Reporting with methodology backing: design sections, scales used, statistical treatment, interpretation.
- Operating sub-brands with their own identity: arteyvida, media, vinoquillon.
Resultado
Corporate site in production with measurement and reporting modules. Combines data automation with human methodology review, delivering reports that funders and academic entities can defend.
Stack técnico
- Django
- Python scientific (pandas, scikit-learn)
- PostgreSQL
- Cloudflare Pages
- Resend
¿Tu organización necesita algo así?
aGo construye plataformas similares con el rigor técnico que viste aquí. Conversemos.