Data Engineering for Social Good
summary
Kasna volunteer network The Good Data Institute has grown to about 150 volunteers and delivered 50+ projects and here presents a concrete case: One Tilt consolidates Google Forms/Google Sheets survey variants into a single dataset, runs NLP (keyword and bigram) in a Google Collab notebook, and visualizes results in Google Data Studio so cohorts and satisfaction can be tracked over time. Team chooses the free Google Workspace centered option tradeoff: occasional manual notebook runs but immediate actionable dashboards and low/no-cost maintainability.
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chapters (12)
- 0:00Data engineering for social good
- 1:24Not-for-profits' data challenges
- 3:10Data capability gap factors
- 4:14GDI priorities for nonprofits
- 5:39One Tilt case study
- 8:54Survey data consolidation design
- 10:18BigQuery for data processing
- 12:27Google Colab notebooks option
- 13:53BigQuery vs Colab decision
- 14:57One Tilt solution impact
- 15:19Engagement lessons
- 16:26Q&A
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