Models and methods of information management support in case of finance planning

Abstract

Subject of Research. This study focuses on enterprise management optimization and development of integrated management information system supporting distributed decision-making processes. The paper describes local automation problems and heterogeneous information system integration for planning and forecasting support. Method. We propose an original enterprise document flow model with the use of temporal stochastic modeling methods. The paper considers the ontology-based model of heterogeneous information system integration. This study proposes ontology concept classification and methods for concept mapping and information objects integration. Main Results.A mathematical model of finance planning is developed based on the proposed models and methods. This model considers stochastic factors and enables funds to be reserved for future expenses. Proposed methods were applied in Finance Planning information system at ITMO University in 2016-2017. The system contains data coming from several information subsystems: Accounting, Salary and Scholarship, Logistics, Contract management. It provides users with expense forecast for 2-3 months that is about 20 % of the annual budget. The software was developed using Oracle DBMS technologies and PL/SQL language within the framework of the Management Information System at ITMO University. Practical Relevance. These approaches may be applied for integration of heterogeneous information systems and data sources at different areas. Proposed methods may be used not only in finance planning but are applicable also to other problems of management optimization with planning and forecasting support.