This process works better than the traditional data science problem-solving process because it reduces ambiguity and fuels drive for outcome with everyone involved. The traditional data science process typically starts with identifying a problem statement, then moves toward data collection, data modeling and evaluation. At the heart of traditional data science process is complexity. Complexity generally forces us to think more rationally, analytically and does not make us use our creativity. Ambition on the other hand encourages us to start with creative thinking and then move towards our analytical side of the brain.