Summary
I really enjoyed my discussion with Jason. He provided great insight into the human side of making an analytics capability successful. I particularly liked his concept of categorising the value that can be gained from analytics into three buckets: insights, automation, and new capabilities.
One of the themes we discussed was that for an organisation to be data-driven, decision-makers need to be prepared to change their minds if the data suggests it. This means the change to become data-driven involves not just data and modeling but also the psychology and environment of the decision-maker.
Jason raised the a heavy reliance on data and analytics maturity models without understanding their context and the nuances of doing data science in practice can be a recipe for failure. Business needs and value ultimately drive what type/mix of descriptive/predictive modeling needs to be done over time, rather than some notion of which type is more “mature.” Maturity...