Identification of the Organizational Performance Indicators More Favorable to the Reality of a Bank: Use of the Data Envelopment Analysis (DEA) and Balance Scored Card (BSC)

摘要

This article aims highlight the importance of the quantitative methods application in conjunction with organizational tools aid in the decision-making process. The need to work with countless data is a constant in the business world. Often the manager loses time analyzing data that are not important at that moment which may result in inefficiency. In this paper are proposals a project development making use of mathematical programming as a precious tool in decision management, resulting in a reduction of time spent of analysis for business decisions and greater accuracy. To highlight the importance of a multidisciplinary approach to redefine problems outside of normal boundaries, a bank would be the organization to work within all their agencies treats as DMU of the system. From the modeling, it is possible to identify those agencies that will provide efficient benchmarking for inefficient agencies, pointing actions to be directed to become efficient. Takes place here, a complete sensitivity analysis on alternative scenarios that could be generated by a decision maker. The proposed project would be performed in three stages, considering the case of a private sector bank: exploratory and data treatment; semi-structured interviews with the managers; analyze the relative efficiencies among the DMUs with the chosen sets of Inputs and Outputs through Data Envelopment Analysis - DEA. An analysis of the results from the standpoint of Economic Efficiency and Organizational Efficiency (BSC) would be an object of discussion.