Big Data-Driven Decision Making in Project Management: a Comparative Analysis

EasyChair Preprint 14192

Abstract

This study investigates the impact of big data-driven decision-making in construction project management through a qualitative comparative analysis. By conducting semi-structured interviews with project managers, data analysts, and construction workers across various types of construction projects, the research identifies key themes related to the benefits and challenges of integrating big data analytics. The findings highlight significant advantages such as enhanced operational efficiency, improved decision-making processes, budget management, timely project delivery, and quality control and assurance. However, challenges including data integration complexities, privacy concerns, the need for specialized skills, and organizational resistance to change are also revealed. The study underscores the importance of fostering a data-driven culture and strong leadership support to maximize the benefits of big data in construction project management, while also emphasizing the need for context-specific strategies tailored to different project types.

Keyphrases: Big Data Analytics, cost reduction, decision making, operational efficiency, project management

@booklet{EasyChair:14192,
  author    = {Md Atiqur Rahaman and Farhana Zaman Rozony and Md Samiul Alam Mazumder and Md. Nazmul Haque and Md Abdur Rauf},
  title     = {Big Data-Driven Decision Making in Project Management: a Comparative Analysis},
  howpublished = {EasyChair Preprint 14192},
  year      = {EasyChair, 2024}}