Systems and methods for measuring, reporting, controlling, and improving enterprise performance are described. A system receives objective statements for an enterprise, which can be an IEE value chain of the enterprise, and enterprise-specific measurable metrics through an interactive user interface with their associated processes. The system collects historical data and real-time data (e.g., daily) associated with enterprise-specific measurable metrics from a plurality of infield resources and analyses the historical data and the real-time data using a statistical model to provide information that teams can use to determine the strengths and shortcomings of the enterprise. Based on the determined strength and shortcomings, the system provides, using a knowledge database, information so that leadership and teams can determine where to focus process-output metric improvement efforts via process improvement efforts so that the enterprise-as-a-whole financially benefits. Process output response measurements are reported, so there is alignment to the processes that created the output response. The system automatically assesses process-output responses in the IEE value chain for stability, using a statistical technique. If a process-output response is stable, a prediction statement is provided for the metric in the chart's report. If a prediction statement is undesirable, there is a “pull” for a process improvement effort that is to enhance the metric's response.