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Data analytics in project management / edited by Seweryn Spalek.

Contributor(s): Material type: TextTextSeries: Data analytics applicationsPublisher: Boca Raton : Auerbach, 2018Edition: 1stDescription: 1 online resource : illustrations (black and white)Content type:
  • text
  • still image
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780429786358 (ePub ebook) :
  • 9780429786365 (PDF ebook) :
  • 9780429786341 (Mobipocket ebook) :
  • 9780429434891 (ebook) :
Subject(s): Additional physical formats: Print version :: No titleDDC classification:
  • 658.4040285 23
Online resources:
Contents:
Introduction to Data Analytics (DA). Why Data Analytics in Project Management (PM)? The Importance of DA in PM. The Key role of Data Analytics in Business Analysis. Business Analysis in Managing Projects. Earned Value Method. IT solutions of DA as Applied to PM. How to manage Big Data issues in Projects’ Environment. Data Mining and the Project Management Office. Project Portfolio Management. Future Directions.
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Academic

Includes bibliographical references and index.

Introduction to Data Analytics (DA). Why Data Analytics in Project Management (PM)? The Importance of DA in PM. The Key role of Data Analytics in Business Analysis. Business Analysis in Managing Projects. Earned Value Method. IT solutions of DA as Applied to PM. How to manage Big Data issues in Projects’ Environment. Data Mining and the Project Management Office. Project Portfolio Management. Future Directions.

Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK). UkOxU

Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. UkOxU

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