Development of an Information-Analytical Model for Corporate Management Support of a Leasing Organization Based on Business Intelligence Technologies

Current research suggests an approach to improving the level of information and analytical support for corporate governance of a leasing organization using business intelligence technologies. The goal of the work is to develop an information and analytical model for supporting the management activities of a leasing organization using business intelligence technologies, which will provide analysis of corporate performance in various areas of activity. The object of the research is one of the largest organizations in the leasing market in the Russian Federation. The subject of the research is the process of analyzing and managing the operating efficiency of a leasing organization, as well as supporting this process based on business intelligence technologies. The following tasks were accomplished as part of the study: 1. The mechanism of leasing, its elements and features have been investigated; 2. The methods and technologies used by companies in the leasing market to analyze their corporate performance have been investigated; 3. The requirements for an information and analytical model have been formed; 4. The target architecture of the model has been designed and the technical base of the solution has been formed; 5. The information and analytical model has been developed in accordance with the designed architecture and the use of the formed list of technological tools; 6. Testing of the solution and the evaluation of the business effects from the implementation of the model have been performed. The information and analytical model developed in the course of the study provided an increase in the quality of the analyzed data and its consolidation in a single space. Moreover, the model provided a single-entry point for obtaining the results of the corporate performance analysis in various fields of activity by most departments from the corporate analytics portal and gave users the opportunity to conduct personal analytics via self-service BI tool. Advisor PhD, Associate Professor Bruskin S. N.