For a case study on reducing operational costs, which data analysis method would be most effective?
- Cluster Analysis
- Cost-Benefit Analysis
- Regression Analysis
- Root Cause Analysis
Root Cause Analysis is an effective method for identifying and addressing the underlying reasons for high operational costs. It helps in pinpointing specific factors contributing to cost inefficiencies, allowing for targeted improvements. Other methods like Cost-Benefit Analysis, Regression, and Cluster Analysis may not offer the same level of detailed insights into operational inefficiencies.
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