The concept of performance measurement is vital to the industry since managers frequently make crucial organizational decisions based on their findings. Data Envelopment Analysis (DEA) technique has being a leading application in organizational performance measurement, partly due to the quantitative approach it uses to generate 'efficiency indices'. This study entailed comparing key features of performance measurement with DEA to that incorporating Partial Least Squares Path Modeling (PLSPM), a technique recently exploited for its cited nonparametric and exploratory powers. Both techniques can analyze the relationship between a set of independent and dependent variables; and they both can be used to generate performance indices using quantitative data from organizations. However, in literature, there are also several criticisms and disadvantages highlighted in both these techniques. Given the claims of their capabilities and presuming the accuracy of such this study is to understand the capabilities and limitations of performance measurement in organizations using DEA and PLSPM with the help of a published case study.