Building Aggregated Solutions to Scale Your Geospatial Strategies
summary
Builds global aggregated location products that correct supply and market-share bias and attach a quality score, using methods like low-pass filter + SVD + outlier detection and inverse-probability multipliers, vetted by an ethics committee. Produces metrics: hexagon-based trade areas and a normalized traffic index, plus a confidence coefficient 0–1 derived from square footage, median device count and signal-detection stability. Validates mobility against 150,000 Sensormatic sensors (pre-pandemic ~50 billion visits), finding correlations ~0.94/0.85/0.80; reports building-level results because GPS cannot separate floors.
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chapters (11)
- 0:00Introduction and speakers
- 1:29What Unicast does
- 3:35Challenges in geospatial data
- 6:21Data correction methods
- 7:45Market share and confidence intervals
- 8:51Key metrics trade area and traffic index
- 11:39Sensomatic data and collaboration
- 13:44Primark Birmingham case study
- 16:11Shopper journey insights
- 17:55Combining data sets validation
- 19:53Q&A session
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