ABSTRACT

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.

chapter 1|6 pages

Introduction

chapter 4|20 pages

Analytical Challenges of a Modern PMO

chapter 6|24 pages

Earned Value Method

chapter 11|19 pages

Data Analytics and Scrum