Integrative Analytics Framework for Enhancing Project Management Ecosystems

preprint OA: closed CC-BY-4.0
🔓 Open OA copy View at publisher

Abstract

This paper proposes a comprehensive analytical framework designed to synergize business intelligence, big data technologies, and project management processes into a unified platform. Emphasizing the transformational role of advanced data analytics, it investigates how seamless integration of diverse IT tools can optimize project scheduling, risk mitigation, resource utilization, and stakeholder collaboration. The framework addresses complexities arising from multidimensional project data and highlights architectural principles for supporting dynamic decision-making within project portfolios. Key technological enablers such as cloud-based BI services, NoSQL databases, and workflow automation are discussed to demonstrate how datadriven insights can elevate project performance and strategic alignment. This conceptual design is positioned to empower business analysts and project managers with actionable intelligence, fostering organizational agility in managing multifaceted project landscapes.

My notes (saved in your browser only)

Citation neighborhood (no data yet)

We don't have any in-corpus citations linked to this paper yet. This is a recent paper (2025) — citers typically take a year or two to land, and the OpenAlex reference graph may still be filling in.

Source provenance

europepmc
last seen: 2026-05-20T01:45:00.602351+00:00
unpaywall
last seen: 2026-05-22T02:00:06.705733+00:00
License: CC-BY-4.0