Yes, Open Data Has Value!
summary
Creates a gender field by matching customer names to national name lists and finds ~2% unisex and a few percent misspellings, then shows gender correlates with product choices like spare parts; combines EU regional statistics (income, household size, cars per household) with sales to flag underperforming areas and target marketing; links license/VIN registries to spare-part fits and counts 117 unique spare parts for one model, of which 7 dead items have zero cars on the road; uses sales and fleet age to forecast replenishment and export opportunity (eg Nigeria import data, Canadian pickup schedules).
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chapters (6)
- 0:00Introduction
- 3:54Government open data
- 7:09Car industry data
- 10:44Dead stock detection
- 12:36Import and demographic data
- 14:41Examples and call to action
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