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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Метод визначення health статусу проєктів для оптимізації фінансових і людських ресурсів IT-компаній

Scientific periodicals of Ukraine
Mass Spectrometry Techniques and Applications
article

Метод визначення health статусу проєктів для оптимізації фінансових і людських ресурсів IT-компаній

article en

Abstract

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.

Scientific periodicals of Ukraine
Openalex Percentile: Top 52%
Mass Spectrometry Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.