'Scenarios for Uncertainty in Business Analytics as Your Crystal Ball
summary
Projects CO2 to 2050 with four concrete scenarios (business-as-usual, -7% tipping point, carbon-capture in 2020s, mixed complex), implemented as ~150 lines of R with ggplot that produces annual and cumulative curves where only the tipping‑point path meets the scientific target. Shows a separate vanilla Excel global calculator compiled to a web front end, driven by 40 levers (options 1–4), deterministic, no feedback loops, reports cumulative emissions (example ≈8,000 Gt) and a ~4°C thermometer outcome.
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chapters (9)
- 0:00What-if scenarios in analytics
- 2:31Why what-if scenarios matter
- 7:07Limitations of traditional business intelligence
- 14:52Demo: CO2 emissions history
- 19:05Demo: CO2 emissions with R
- 27:29Demo: Global Calculator in Excel
- 46:46Key choices in what-if models
- 53:37Extending BI with models
- 54:59Q&A
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