Data Analytics in Project Management



Book Title: Data Analytics in Project Management
Author: Various; Edited by Seweryn Spalek
Publisher: CRC Press
List Price: US$129.95
Format: Hardcover, 222 pages
Publication Date: October 2018
ISBN: 978-1-138-30728-5
Reviewer: Jennifer Arroyo, PMP
Review Date: January 2019




Data Analytics in Project Management is a good collection of essays, research papers, and case studies that applies key project management approaches and methods to the field of Data Analytics. For example: Risk Management, the role of PMO, Planning and Resource Management, PPM, EVM, Big Data, Software Support/ASD-BI, Data Mining and BI, Decision-making, and Agile PM. I appreciate this book discusses the challenges of big data development then compares and contrasts that with project management which have tended to be late adopters of Agile in BI.

Overview of Book’s Structure

  • Chapter 1 Introduction

– DA in PM is of increasing importance but extremely challenging

  • Chapter 2 Why Data Analytics in Project Management?

– Data Analytics 3.0

  • Chapter 3 Data Analytics Risk: Lost in Translation?

– Predictive Analytics and Consequences

  • Chapter 4 Analytical Challenges of a Modern PMO

– The PMO as the Multilevel Data Analysis Center

  • Chapter 5 Data Analytics and Project Portfolio Management

– PPM and Decision-Making

  • Chapter 6 Earned Value Method

– Setting up for EVM

  • Chapter 7 How to Manage Big Data Issues in a Project Environment

– Overcoming Data-related Challenges

  • Chapter 8 IT Solutions of Data Analytics as Applied to Project Management

– Case study

  • Chapter 9 Conventional and Unconventional Data Mining for Better Decision-making

– Why Data Mining is needed

  • Chapter 10 Agile Project Management and Data Analytics

– Application of Agile Values

  • Chapter 11 Data Analytics and Scrum

– Mixing Oil and Water: Data Analytics and Scrum


Good coverage of Data Analytics in PM topics and best practices. Each chapter has its own Contents which makes it very reader-friendly. The purpose of the book is to touch on each topic and present practical pieces of advice to improve the way a project manger work with Big Data. Data analytics in project management is of increasing importance and extremely challenging.


To read entire Book Review, click here



About the Reviewer

Jennifer Arroyo, MBA, PMP

Texas, USA



For more than 10 years Ms. Arroyo has worked with individuals and teams in Fortune 500 financial services business environments.  Her emphasis is in Data Audit in compliance, financial Data Analysis, CRM applications, meeting project requirements, achieving project goals and subsequently improving company operational performance.

During her recent PMO involvement she aligned her project management knowledge of current BI enterprise applications and solution-based analytic tools to bring optimal outcomes and overall marketing program/project success.

As a lifelong learner, she is currently pursuing a MS degree in Advanced Data Analytics with a focus in information systems for Healthcare Management.  Ms. Arroyo has been a member of PMI Dallas Chapter since 2015.

Contact at 972.372.4043 via voice/text or jenniferarroyo@my.unt.edu


Editor’s note:  This book review was the result of a partnership between the publisher, PM World and the PMI Dallas Chapter. Authors and publishers provide the books to PM World; books are delivered to the PMI Dallas Chapter, where they are offered free to PMI members to review; book reviews are published in the PM World Journal and PM World Library.  If you are an author or publisher of a project management-related book, and would like the book reviewed through this program, please contact edit@pmworldjournal.net.