Finally, a positive corporate prediction market case study… -well, according to Jed Christiansen

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Jed Christiansen:

To recap, the prediction market beat the official GM forecast (made at the beginning of the month) easily, which isn’t hugely surprising considering the myopic nature of internal forecasting. But the prediction market also beat the Edmunds.com forecast. This is particularly interesting, as Edmunds would have had the opportunity to review almost the entire month’s news and data before making their forecast at the end of the month. […]

Assume that even with three weeks’ early warning Chevrolet was only able to save 10% of that gap, it’s still $80million in savings. Even if a corporate prediction market for a giant company like GM cost $200,000 a year, that would still be a return on investment of 40,000 %. And again, that’s in the Chevrolet division alone. […]

Make up your own mind by reading the whole piece.

Next: The truth about CrowdClarity’s extraordinary predictive power (which impresses Jed Christiansen so much)

Next: Assessing the usefulness of enterprise prediction markets

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