Data Analytics in Project Management [Hardcover]

This book aims to help the reader better understand the importance of data analysis in project management. Moreover, it provides guidance by showing tools, methods, techniques and lessons learned on how to better utilize the data gathered from the projects. First and foremost, insight into the bridge between data analytics and project management aids practitioners looking for ways to maximize the practical value of data procured. The book equips organizations with the know-how necessary to adapt to a changing workplace dynamic through key lessons learned from past ventures. The books integrated approach to investigating both fields enhances the value of research findings.

Introduction to Data Analytics (DA). Why Data Analytics in Project Management (PM)? The Importance of DA in PM. The Key role of Data Analytics in Business Analysis. Business Analysis in Managing Projects. Earned Value Method. IT solutions of DA as Applied to PM. How to manage Big Data issues in Projects Environment. Data Mining and the Project Management Office. Project Portfolio Management. Future Directions.

Seweryn Spalek is an academic professor and head of the CS&E department at the Faculty of Organisation and Management, Silesian University of Technology. Since 1994, he has managed several projects in industrial companies and healthcare organisations, in multicultural and multinational environments. He is the author and co-author of several publications in project management. He participated as a speaker in several conferences related to project management and company management. He carried out research related to key success factors in project management and project management maturitlÓ!