This paper proposes a new methodology for the assessment of the value range for real estate units. The theoretical basis of the methodology is built on the Data Envelopment Analysis-DEA approach, which has its original concept adapted to the case where the units under assessment consist of transactions among sellers and buyers. The proposed approach-christened Double Perspective-Data Envelopment Analysis (DP-DEA)-is applied to a database comprising the prices and features of the units under assessment. It is shown that the DP-DEA presents some specific advantages when compared to the usual regression analysis method employed in real estate value assessment.

This paper introduces the application of real estate pricing DP DEA - Double Perspective Data - Envelopment Analysis to solve the LOOP (Law of One Price) arbitrage. A general equilibrium model of real estate values was developed to analyze price variation over digital map, and applied to the urban area of the city of Joinville. The power of real estate locational value assessment using DP-DEA is then compared with the usual MRA - Multiple Regression Analysis using a real case of land data. All computational generated results and data were subsequently geocoded on a GIS - Geographic Information System. The computational generated Price line Map is easily visualized in a real estate value chart that can enhance accuracy when compared to a conventional methodology, also a tool for immediate updates and testing the effects of new developments over urban areas

Goal: This article presents a PMM-Performance Measurement and Management system which analyzes 72 regional managerial offices (RMO) found on the database of a banking institution. Each of the offices has a portfolio of investments in real estates in Brazil financed by the Banking Institution. The PMM gives diagnosis of the performance of each of these offices through a data mining procedure from the years 2015 to 2017 and suggest on how the worst performing offices can replicate the best performing ones. Design / Methodology / Approach: The PMM was designed to estimate an efficient model by Data Envelopment Analysis (DEA). Ranks the efficiency of the RMOs and provides managerial solutions with the background information upon which to base decisions. Results: The proposed PMM is a new approach paradigm to institution, in the way to set the best results on account of resources available. The current method used per the Institution sets effectiveness targets without accounting the resources spent. Limitations of the investigation: The restrictions in time and resources did not make possible compare the current organizational method with the proposed PMM. A main question was not answered if the effectiveness RMOs are efficient too, or, vice-versa. Practical implications: The design of PMM has the ability to enable the institution of processing a more flexible and dynamic performance management. The practical implications achieved are reported in systematic analysis approach that testify the quality and effectiveness of this PMM modeling in conclusion section at table of Lenses of Systematic Analysis. Originality / Value: This article is innovative as it introduces the ability to perform simulations in the DEA environment, principally because its possibility to rearrange the modeling from the evolution of institution performance. Also, the corporate aspect of adopting a universalized methodology for evaluating efficiency.