Метод визначення health статусу проєктів для оптимізації фінансових і людських ресурсів IT-компаній
This article is dedicated to the development of a comprehensive method for determining the health status of projects and portfolios in IT outsourcing companies to optimize the use of financial and human resources. The proposed approach integrates data from key project management systems (Jira, Tempo, GitLab, SonarQube, ERP) using automated algorithms for data collection, normalization, and metric analysis. The method provides numerical indicators characterizing schedule efficiency (SPI), budget adherence (CPI), code quality, risk level, and participant satisfaction, thereby enabling the construction of an integrated Health Index (Pi). The developed method ensures real-time data processing, allowing management to promptly detect deviations from planned performance indicators and take corrective actions for resource optimization. The paper details the algorithms of multicriteria analysis used to determine the weighting coefficients for individual metrics, enabling the system to adapt to the specific requirements of IT companies. The proposed model demonstrates the potential for automating management decision-making based on numerical data, which increases forecasting accuracy and minimizes the risks of cost overruns and project delays. The results confirm the practical value of the integrated approach, which facilitates the optimal allocation of financial and human resources in a multi-project environment. The method not only reduces administrative overhead but also ensures strategic flexibility in management processes, a critical factor for enhancing the competitive position of companies in the global market. The study demonstrates that systematic integration of data from modern information systems is a prerequisite for effective project management in conditions of rapid technological change and market uncertainty.
Publication Details
- Journal
- Scientific periodicals of Ukraine
- Published
- 2025-06-27
- Primary Topic
- Mass Spectrometry Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00