Before you “listen to the data” you need to listen to the business. Focusing on decisions and building decision models based on business know-how puts your whole ML/AI program on a business footing. Using industry standard notation like the Decision Model and Notation or DMN standard enables senior executives and others across the business, IT and ML/AI agree on the use cases to be addressed. Decision models show exactly what ML/AI algorithms you are going to need to create business value and how those algorithms will drive your decisions and business processes. Building these models before you build any algorithms ensures that there is business “pull” for the ML/AI algorithms that get developed and that IT already knows how to integrate the result.