This document discusses methods for calculating the return on investment (ROI) and other metrics to justify data investments. It provides an example of using an interactive value assessment to gather key metrics from a manufacturing customer, such as downtime hours and production units. The assessment then calculates the potential costs avoided and benefits realized, such as reduced downtime and faulty units, to determine the cost-benefit ratio and payback period of investing in data and Splunk technology. The document emphasizes that value assessments are one part of developing an overall data strategy and roadmap to optimize investments for the future.