Steve discussed some smart thoughts about the usefulness of data and proof, but I don’t think it’s the whole story.

Spending time perfecting metrics and building models from past data is a great way to succeed within the box. By it’s nature, data analysis will lead you to doing the best thing for the past situation under which the data was generated.

This isn’t a bad way to start new things. It will undoubtedly lead to more successes than great ideas that don’t have a set of historical data.

But the scale of your successes, and the degree of innovation, will be greater if you build metrics to measure the data you generate yourself.

For big organizations that have a lot to lose, measure and tread carefully (maybe). For the rest of us, don’t worry so much about whether you have the proof yet.

Spend more time making the data than analyzing it. Follow history too closely and you’ll start thinking the future looks the same.

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