How to Measure Success and Demonstrate ROI of Data Projects

In this episode, Brick and Caleb discuss how to demonstrate the value and return on investment (ROI) of data initiatives. They explore practical ways to quantify ROI, from automating manual effort to improving decision-making processes. Brick and Caleb also share real-world examples including the impact of increasing employee utilization on a company’s bottom line. They discuss the importance of measuring performance before and after the implementation of data projects, the potential pitfalls of over-reporting, and the power of simplicity in data analytics.

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