CONCEPT OF ORGANIZATION OF PORTFOLIO OF PROJECTS AND PROGRAMS OF FINANCIAL COMPANIES

Abstract

The article describes the process of project portfolio management with an emphasis on financial companies, which are managed on the basis of a process approach. Over the past few years, many scientific papers have been published on project portfolio management and process management. However, having studied each of the two fundamentally different approaches, the need for further research and development of universal methods and models of project portfolio management in financial companies whose activities are based on process management is described. The concept is based on the improvement of the Shewhart-Deming cycle "PDCA " and the combination of the best, to date, practices in project portfolio management. The concept is a cyclical process of project portfolio management, which has annual and quarterly duration. Thus, formed a cyclical process, possible for universal application by financial companies, which is of practical importance for the further development of the concept. The article describes the key advantages of process and project management based on the results of research in recent years. The results of research of other domestic and foreign scientists and experts who study the issues of process management and project portfolio are presented. The description of the concept formulates the life cycle of portfolio management of projects and programs in combination with the cycle "PDCA" and describes the requirements for the portfolio of it and its components, identifies possible key indicators of the process. The importance of decision-making based on the results of monitoring process indicators is noted. The opinion on the need for further development of the concept and search for solutions that will make effective decisions on the authorization of potential components of the portfolio without human risk, using new technologies of data analysis and processing. which should be studied in more detail and conclusions about its effectiveness should be formed based on the results of its testing in a real environment based on the analysis of data obtained within the monitoring of process indicators.