The Importance of Data-Driven Experimentation in Industry

The traditional way of making decisions based on the opinion of a confident expert is being replaced by experimentation and a data-driven approach. This is applicable beyond data-heavy industries and is one of 11 attributes discussed in the book. The example of cancer research highlights the benefits of tapping into diverse perspectives. Building an experimental organization into the culture is crucial for success.