Imagine you are managing a large and complex data analytics project for a pharmaceutical company. There are nearly 40 people in total working on the project plus management stakeholders. Models have been developed and are now ready for evaluation. This is the third iteration of model development and evaluation. During each evaluation managers bicker over the results; each most concerned about his/her own department's needs. You definitely feel like you're 'flying behind the plane' (Berkun). Reflecting on chapters 14 and 15 (Middle-game and End-game Strategies) you conceive of a way in which using data and analytics could be used to manage the expectations of the managers. If not this project, maybe the next one. Describe what this might look