| Summary: | Data Envelopment Analysis method allows both the measurement of the relative efficiency of an homogenous group of credit institutions, and the identification of those banking activity’s components generating a state of inefficiency. The present study focuses on this last issue, by proposing an interpretation of inefficiency signals and by strengthening the major role played by the credit institution’s executive board in designing a viable, coherent business strategy and in defining its risk profile.DEA method places all the efficient credit institutions on the efficiency frontier, without allowing their differentiation. In order to exceed this limit, we have analysed and compared two ranking techniques. The results obtained suggest that the hierarchy generated by the two techniques hasn’t changed significantly for almost 60% of our sample of credit institutions.
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