OVERVIEW OF DATA ANALYSIS METHODS IN THE CONTEXT OF PROJECT MANAGEMENT ACTIVITIES
DOI:
https://doi.org/10.35546/kntu2078-4481.2025.2.2.17Keywords:
data analysis, project management, descriptive analysis, diagnostic analysis, predictive analysis, prescriptive analysis, analysisAbstract
The subject of this study is the data analysis methods that can be applied in the context of project management information systems to enhance the efficiency of managerial decision-making, optimize the utilization of available resources, forecast risks, and improve project outcomes. The aim of this work is to systematize and review the key data analysis methods that can be utilized in the development of project management information systems, as well as to identify their practical applications for addressing critical tasks in project management. This study addresses the following tasks: 1) Identifying the key areas of ap-plied data analysis within project management information systems; 2) Describing data analysis methods, their purposes, and examples of their application in the context of project management; 3) Classifying data analysis methods applicable to project management information systems by types of analysis (descriptive, diagnostic, predictive, prescriptive). The following meth-ods are applied: systems analysis, classification, as well as methods of descriptive, diagnostic, predictive, and prescriptive data analysis. Achieved results: the primary types and methods of data analysis applicable to project management have been sys-tematized; the tables that contain methods description for each type of analysis, their purposes, and examples of application in project management have been developed; have been identified key advantages of applying data analysis to address project management challenges such as risk forecasting, resource optimization, and improving team efficiency; practical examples of using data analysis methods for managerial decision-making have been described.Conclusions. Data analysis is a critical tool for enhancing the efficiency of project management. The use of techniques and methods of descriptive, diagnostic, predictive, and prescriptive analysis within project management information systems ena-bles managers to obtain valuable insights for informed decision-making, improve resource utilization, forecast risks, and en-hance project outcomes. The systematization of data analysis methods applicable to project management promotes their more effective application and integration into information systems, thereby improving project planning, resource utilization, risk mitigation, and ultimately increasing the quality of project execution.
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