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