Data Delusion: More Data Doesn't Always Equal Better Decisions

Imagine you're trying to pick a winning horse.

At first, a few key facts help, and you pick the winner some of the time.

But if you get tons of info, your picks don't get much better.

The study showed that even when experts got more data, they weren't much better at predicting who'd win, even though they felt more confident.

Too much information can be hard to use.

Sometimes the extra data isn't helpful, and you might think it is.

This is like businesses spending lots on data but not seeing results.

To fix this, decide what you need to improve, and focus on the important data.