Data Analytics in Project Management Data Analytics in Project Management
Data Analytics Applications

Data Analytics in Project Management

    • ¥8,800
    • ¥8,800

発行者による作品情報

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.

ジャンル
ビジネス/マネー
発売日
2018年
10月25日
言語
EN
英語
ページ数
232
ページ
発行者
CRC Press
販売元
Taylor & Francis Group
サイズ
8.6
MB
Six-Word Lessons for Data-Driven Decision-Making: 100 Lessons Today's Data Pros Must Adopt for Exceptional Bottom-Line Results Six-Word Lessons for Data-Driven Decision-Making: 100 Lessons Today's Data Pros Must Adopt for Exceptional Bottom-Line Results
2018年
Managing IT Performance to Create Business Value Managing IT Performance to Create Business Value
2016年
Transforming Healthcare Analytics Transforming Healthcare Analytics
2020年
Enterprise Performance Intelligence and Decision Patterns Enterprise Performance Intelligence and Decision Patterns
2017年
AI-Enabled Analytics for Business AI-Enabled Analytics for Business
2022年
The AMA Handbook of Project Management The AMA Handbook of Project Management
2014年
Digital Transformation in Sports Digital Transformation in Sports
2025年
Data Analytics in Finance Data Analytics in Finance
2025年
Online Learning Analytics Online Learning Analytics
2021年
Closing the Analytics Talent Gap Closing the Analytics Talent Gap
2021年
Data Analytics in Marketing, Entrepreneurship, and Innovation Data Analytics in Marketing, Entrepreneurship, and Innovation
2021年
Data Analytics Applications in Gaming and Entertainment Data Analytics Applications in Gaming and Entertainment
2019年