title: ÐÐ½ÐµÐ´ÑÐµÐ½Ð¸Ðµ Ð¼ÐµÑÐ¾Ð´Ð¸ÐºÐ¸ Ð¿ÑÐµÐ´Ð¸ÐºÑÐ¸Ð²Ð½Ð¾Ð³Ð¾ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ñ ÑÐ¸ÑÐºÐ¾Ð² Ð½Ð°ÑÐºÐ¾ÐµÐ¼ÐºÐ¾Ð³Ð¾ Ð¿ÑÐ¾Ð¸Ð·Ð²Ð¾Ð´ÑÑÐ²Ð° Ð¿ÑÐ¸ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½Ð¸Ð¸ IT-Ð¿ÑÐ¾ÐµÐºÑÐ¾Ð¼
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Implementation of predictive risk modeling methodology in knowledge-intensive production for IT project management
Creators: name: ÐÐ¾ÑÐ¸Ð½, Ð Ð¾Ð¼Ð°Ð½
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: Ð¿ÑÐµÐ´Ð¸ÐºÑÐ¸Ð²Ð½Ð¾Ðµ Ð¼Ð¾Ð´ÐµÐ»Ð¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ
ÑÐ¸ÑÐºÐ¸
it-Ð¿ÑÐ¾ÐµÐºÑ
Ð¿ÑÐ¾ÐµÐºÑÐ½Ð°Ñ ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ°
ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½ÑÐµÑÐºÐ¾Ðµ ÑÐµÑÐµÐ½Ð¸Ðµ
predictive modeling
risks
it proect
project development
management decision makinig

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description: This work is dedicated to the research of creating and implementing a methodology for predictive risk modeling in planning IT projects. The tasks addressed during the research include: 1. Studying theoretical aspects related to project planning, risk analysis, and management decision-making. 2. Exploring the peculiarities of business processes associated with planning and managing custom IT projects. 3. Identifying the most common risks encountered and realized in projects, forming a risk matrix. 4. Developing a predictive model and a set of recommendations for improving the efficiency of IT project management. The work was conducted based on LLC "CIT Fact" in the part of project development for IT projects, where a significant portion of the factual material was collected: information about implemented projects, project documentation, minutes of installation meetings and gatherings, results of retrospective analyses, results of interviews with project team members, internal documentation. As a result, an analysis of the companys key projects was carried out. A basic version of the risk matrix was formed. A basic version of the predictive model was developed. Effective recommendations for changing approaches to resource planning and IT project management towards active use of predictive risk modeling were developed. Based on the conducted research at LLC "CIT Fact", a decision was made to start implementing the predictive model in the companys activities related to custom development. Current implementation status: pilot operation. Application area: the proposed solution can be implemented in companies belonging to the small and medium-sized business sector, engaged in IT project development. Economic impact/significance of the work: upon successful completion of the pilot operation and full-scale implementation, a 20% increase in the economic efficiency of the companys project direction is expected. Future plans include further development of the methodology aimed at deeper integration with the companys business processes, as well as covering the enhancement of efficiency in the support and development of IT projects.