Data Analytics in Project Management: 1st Edition (Hardback) book cover

Data Analytics in Project Management

1st Edition

Edited by Seweryn Spalek

Auerbach Publications

222 pages | 30 B/W Illus.

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Hardback: 9781138307285
pub: 2018-10-24
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eBook (VitalSource) : 9780429434891
pub: 2018-10-25
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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.

Table of Contents

Introduction - Seweryn Spalek

Why Data Analytics in Project Management? - J. Davidson Frame, Yanping Chen

Data Analytics Risk – Lost in Translation? - Carl Pritchard

Analytical Challenges of a Modern PMO - Seweryn Spalek

Data Analytics and Project Portfolio Management - Alfonso Bucero

Earned Value Method - Werner Meyer

How to Manage Big Data Issues in a Project Environment - Ryan Legard

IT Solutions of Data Analytics as Applied to Project Management - Michael Bragen

Conventional and Unconventional Data Mining for Better Decision Making - Klas Skogmar

Agile Project Management and Data Analytics - Deanne Larson

Data Analytics and Scrum -Bert Brijs

About the Editor

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.

About the Series

Data Analytics Applications

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Subject Categories

BISAC Subject Codes/Headings:
BUSINESS & ECONOMICS / Project Management
COMPUTERS / Database Management / Data Mining
MATHEMATICS / Probability & Statistics / General