Abstract: As the complexity of projects grows, the traditional methods of project management often struggle to keep pace with new demands for speed, precision and cost effectiveness. Today’s projects require a level of insight that only data analytics can provide. These tools and project management platforms with built in analytics capabilities have further accelerated this shift, enabling project teams to visualize data in real-time, identify trends, and adjust strategies proactively.
This paper aims to explore the pivotal role of data analytics in enhancing project management outcomes. Specifically, it will examine the different types of data analytics and their diverse application. Additionally, the paper will discuss the benefits of adopting data analytics while also addressing the common challenges in implementation. The paper will conclude in presenting case studies and examples in which data analytics were used positively, and finally touch upon the future trends we expect in the application of big data in the realm of project management.
Keywords: project management, projects grows, traditional methods.
Title: The Role of Data Analytics in Project Management
Author: Leena Alawami
International Journal of Management and Commerce Innovations
ISSN 2348-7585 (Online)
Vol. 12, Issue 2, October 2024 - March 2025
Page No: 99-108
Research Publish Journals
Website: www.researchpublish.com
Published Date: 16-December-2024
