Python

Making choices is a big part of business, but how do you know if your decisions are actually improving things? Ideally, you’d run controlled experiments, but that’s not always possible.

This post explores CausalImpact, a powerful tool that helps you estimate the impact of decisions on your data, even when experiments aren’t an option. It works by creating a counterfactual scenario – what would have happened if you hadn’t made the decision? – and comparing it to the actual results.