David Brooks just wrote an opinion piece in The New York Times, What Data Can’t Do.
It’s really good; reasoned, nuanced, supported by relevant example and contextualized in the literature. Well worth reading.
It got me thinking about the limits of data-driven decision making in general. Bertrand Russell argued that no system can be understood by reference to anything from inside the system, no matter how clever the arguments. Ludwig Wittgenstein argued that nothing can be understood, or even adequately explained — period.
The data scientists are giving us amazing insights and trying to explain everything. They will doubtless continue to generate lots of actionable insight, including insight into the world of talent management, but they will fail at the “everything” part.
Everything is too tall an order.
Read Brooks’ piece. It’s food for thought.