This video segment discusses a critical strategic error made by Nokia, influenced by advice from a major management consulting firm. The firm's data-driven recommendation was that Nokia could afford to wait three to four years to release a smartphone, based on the assumption that a mass market for smartphones, especially in developing countries, wouldn't exist until prices dropped significantly. The data suggested that consumers in populous, developing nations would not pay more than a certain amount for a phone. However, an anthropologist working for Nokia countered this by observing that people in these regions would actually be willing to pay double the price for a smartphone compared to a feature phone once it became available. The speaker highlights this as an example where an over-reliance on data with strong evidential value, without considering qualitative insights, led to a company's downfall.

Financian

Now, in the case of I think Nokia, they had advice from a very large management consulting firm that they had, they could wait three or four years before releasing a smartphone because until smartphone prices fell to a certain point, there was no mass market for them, particularly in the developing world.

We've got literally reams of data that say that people in highly populous countries, typically, you know, in the developing world, will not pay more than X for a phone. But a friend of mine who's an anthropologist working for Nokia said, "This isn't right. When a smartphone becomes available, they'll actually pay twice as much for a smartphone as they will for a feature phone."

That was a case where relying only on data with strong evidential value kind of killed a company. Afternoon.

The Real Reason Why Nokia Failed

Now in the case of I think Nokia, they
had advice from a very large management
consulting firm that they had they could
wait 3 or 4 years before releasing a
smartphone because until smartphone
prices fell to a certain point there was
no mass market for them particularly in
the developing world. We've got
literally reams of data that say that
people in highly populous countries
typically you know in the developing
world will not pay more than X for a
phone. But a friend of mine who's an
anthropologist working for Nokia said,
"This isn't right. When a smartphone
becomes available, they'll actually pay
twice as much for a smartphone as they
will for a feature phone." That was a
case where relying only on data with
strong evidential value kind of killed a
company. Afternoon.

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The Real Reason Why Nokia Failed

Transcription