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Data analytics in project management

Author: Seweryn Spalek
Publisher: Boca Raton, FL : CRC Press, Taylor & Francis Group [2019] ©2019
Series: Data analytics applications.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
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  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Spalek, Seweryn.
Data Analytics in Project Management.
Milton : Auerbach Publications, ©2018
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Seweryn Spalek
ISBN: 9780429786365 0429786360 9780429434891 0429434898 9780429786358 0429786352 9780429786341 0429786344
OCLC Number: 1061126473
Description: 1 online resource (xii, 221 pages) : illustrations
Contents: Why data analytics in project management? / J. Davidson Frame and 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.
Series Title: Data analytics applications.
Responsibility: edited by Seweryn Spalek.

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.

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