Earned Value Management Using Microsoft Office Project: A Guide for Managing Any Size Project Effectively

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. 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

About the Author

Sham Dayal, PMP, has over 12 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 BFL Ltd, an EDS company, and is co-founder of Connoizor Software Ltd, a company that specializes in software tools and templates, project execution, and product development. Mr. Dayal 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.