Data Analytics in Project Management

Buch | Hardcover

222 Seiten

2018
CRC Press (Verlag)
978-1-138-30728-5 (ISBN)

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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 book’s integrated approach to investigating both fields enhances the value of research findings.

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 maturity.

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.

Erscheinungsdatum	22.10.2018
Reihe/Serie	Data Analytics Applications
Zusatzinfo	30 Tables, black and white; 27 Line drawings, black and white; 3 Halftones, black and white; 30 Illustrations, black and white
Verlagsort	London
Sprache	englisch
Maße	156 x 234 mm
Gewicht	1070 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Naturwissenschaften
	Wirtschaft ► Betriebswirtschaft / Management ► Projektmanagement
	Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie
ISBN-10	1-138-30728-9 / 1138307289
ISBN-13	978-1-138-30728-5 / 9781138307285
Zustand	Neuware