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Data Analytics in Project Management

By: Publication details: CRC Press 2023 LondonEdition: Special Indian EditionDescription: 236ISBN:
  • 9781032605142
Subject(s): DDC classification:
  • 005.74015  SPA
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 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. Source: https://www.amazon.in/Data-Analytics-in-Project-Management/dp/1032605146/ref=sr_1_1?crid=KGHY82W3RVZJ&dib=eyJ2IjoiMSJ9.rlTKyWGM9HxXr4CvESxpCw.wc7ILE9ldhoKgYFkMM7NI1lAYi6tTCs5GPNggwXKDlk&dib_tag=se&keywords=9781032605142&qid=1709544124&sprefix=9781032605111%2Caps%2C383&sr=8-1
List(s) this item appears in: New Arrivals March 2024
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Book Book Main Library Analytics Reference book 005.74015 SPA (Browse shelf(Opens below)) Available 119235

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.

Source: https://www.amazon.in/Data-Analytics-in-Project-Management/dp/1032605146/ref=sr_1_1?crid=KGHY82W3RVZJ&dib=eyJ2IjoiMSJ9.rlTKyWGM9HxXr4CvESxpCw.wc7ILE9ldhoKgYFkMM7NI1lAYi6tTCs5GPNggwXKDlk&dib_tag=se&keywords=9781032605142&qid=1709544124&sprefix=9781032605111%2Caps%2C383&sr=8-1

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