Examines the effect of data mining on project management sustainability through business intelligence, suggesting enhanced organizational success.
As a concept, PMS is becoming increasingly important for determining the sustainable success of an organization. PMS refers to how the organizations execute project tasks in a sustainable manner while maintaining the economic, environmental and social equilibrium of their activities. Importantly, the PMS includes actions that are geared toward project goal achievement and sustainable development. At the current time, there is increasing dynamism and availability of information among organizations. Under such conditions, BI emerges as a concept. Business intelligence can be defined as the set of methodologies and tools employed by organizations to capture, analyze and interpret data to gain information. With BI, organizations can achieve increased visibility and improved planning and performance of projects. Despite the importance of BI in helping organizations achieve sustainable success in project results, it cannot be emphasized enough that the sustainability of project results requires even better techniques of information analysis. In this connection, organizations need DM as an advanced form of BI that aims at identifying underlying information from large amounts of data.
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Al-Junaidi et al. (2026) studied this question.
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