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Earned Value Management: Using Microsoft Office Project (Paperback)

Sham Dayal

7 valoraciones por Goodreads
ISBN 10: 1932159983 / ISBN 13: 9781932159981
Editorial: J Ross Publishing, United States, 2008
Nuevos Condición: New Encuadernación de tapa blanda
Librería: The Book Depository US (London, Reino Unido)

Librería en AbeBooks desde: 10 de septiembre de 2013

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Descripción

Language: English . Brand New Book. An invaluable guide to using EVM techniques with Microsoft[registered] Office Project. Schedule and cost management are the most essential parts of project life cycle management, and many projects fail as a result of not managing these critical components effectively. The most commonly used tool for project schedule management is Microsoft[registered] Office Project and the most common technique used for cost management is Earned Value Management (EVM). Earned Value Management Using Microsoft[registered] Office Project provides readers with a revolutionary how-to guide that combines the most widely used scheduling tool with the most widely accepted cost management technique. This volume also includes a free CD-ROM that features a version of a unique EVM software tool that will help practitioners more effectively manage their projects, track and report the status and progress of projects, and take necessary action before their projects fail beyond repair. N° de ref. de la librería AAJ9781932159981

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Detalles bibliográficos

Título: Earned Value Management: Using Microsoft ...

Editorial: J Ross Publishing, United States

Año de publicación: 2008

Encuadernación: Paperback

Condición del libro:New

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Sinopsis:

This invaluable reference effectively combines earned value management (EVM), the most widely accepted cost management technique, with the most widely used scheduling tool, Microsoft Office Project. It is a practical guide to end-to-end scheduling and cost management and includes a six-month trial version of a unique EVM software tool that will enable you to more effectively manage your projects, track and report the status and progress of projects, and take necessary action before projects fail. Supported with practical examples, this guide demonstrates how EVM can be effectively applied to any size project or program with the same rigor as that of a large or critical project or program.

KEY FEATURES

- Includes a unique EVM software tool that will save you substantial time and effort so you can focus on the actual management of projects or programs
- Covers the knowledge areas of schedule and cost management and is aligned with the Practice Standard for Earned Value Management published by PMI
- Provides a practical step-by-step approach to building a schedule quickly and contains efficient EVM cost management techniques using Microsoft Office Project to manage projects throughout their entire life cycle
- WAV offers free downloadable Excel tables with defined formulas for EVM calculations, a project schedule created using EVM and Microsoft Office Project, an EVM slide presentation, and an EVM software user manual -- available from the Web Added Value Download Resource Center at jrosspub.com

About the Author:

Sham Dayal, PMP, has over 13 years of practical experience in the IT industry where he specializes in managing projects using EVM techniques with Microsoft Project software. Mr. Dayal currently holds a program management position with MphasiS, a global IT services firm, and is co-founder of Connoizor Software Pvt Ltd, a company that specializes in software tools and templates, project execution, and product development. He was the first person at MphasiS to successfully implement EVM for project tracking (progress, status and forecasting) and was instrumental in creating a new technique for tracking the progress of production support projects. This new technique, based on the EVM concept, won a Quality Knowledge Excellence Award. Mr. Dayal is a frequent speaker on EVM and has been published in leading journals on EVM pertaining to more effective project lifecycle management. He has a bachelor's degree in Computer Science and a master's in Applied Statistics.

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