Most election prediction shops and public polls in recent days foresaw Republican Donald Trump losing the U.S. presidential race to Democrat Hillary Clinton.

They got it wrong, bigly. And the failed predictions could cast doubts on some hot technology sectors, including big data and customer relationship management.

Not so fast, say some data experts. The problem with the polls and with forecasters like FiveThirtyEight may have more to do with data collection than data crunching, they say.

Data analysis worked well in the Moneyball model for the Oakland Athletics, but baseball stats are different than election polling, said CRM analyst Denis Pombriant, founder of Beagle Research Group. Statisticians have been collecting “highly reliable” baseball data for more than a century, while polling data is more squishy, he said.

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