Data Analytics in Project Management
A recent research paper, The Role of Data Analytics in Project Management by Leena Alawami, provides a compelling analysis of how data analytics enhances project efficiency, risk management, and resource allocation. This article explores the paper’s findings, contextualizing them within the broader framework of strategic project management.
The Four Pillars of Data Analytics in Project Management
Alawami identifies four primary types of data analytics applied in project management:
Descriptive Analytics (Retrospective) – This foundational level of analytics examines historical project data to uncover trends, benchmarks, and project reporting. By analyzing past project performance, organizations can develop standardized metrics for assessing future projects.
Diagnostic Analytics – This type goes deeper by identifying the root causes of past project success…
