Track: Decision & Risk Analysis
Decision Analytic Principles for Data Science Leaders
Monday, April 12, 2:40-3:20pm EDT
Data is important to the value of an organization. That statement is not controversial, so it is tempting to gloss over. But what makes data valuable? In the context of prediction, decisions give value to data. Therefore the creators of predictive models should apply decision analytic principles — like the importance of framing, taking a value focus, and pursuing high-quality decisions — as naturally as they apply data science principles. In this talk we will apply decision quality as a framework for thinking clearly about decisions faced by data science leaders and their teams.