Abstract: Techniques for regression analysis of optimization potential are provided. An actionable set of data elements is identified in operational data, where the operational data comprises a plurality of data elements. A regression model is generated based on the operational data, where the regression model defines a contribution weight for at least a first data element of the actionable set of data elements. A first expected value is determined for the first data element based on industry data. A potential optimization for the first data element is then quantified, based at least in part on the first expected value and the contribution weight of the first data element.