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Enterprise Project Portfolio Management

Enterprise Project Portfolio Management

Building Competencies for R&D and IT Investment Success
By Dr. Richard M. Bayney and Ram Chakravarti
Hardcover, 7x10, 384 pages
ISBN: 978-1-60427-060-0
August 2012

Availability: In stock

Retail Price: $69.95
Direct Price: $59.95
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Read the Reviews
Enterprise Project Portfolio Management balances the theoretical and pragmatic to deliver a practical synthesis for portfolio decision making. The authors provide the conceptual framework, tools, and real-world examples that can help align core technical, commercial, and financial planning functions under a common strategic management structure.”
Robert F. Prachar, Jr., Sr. Vice President, Enterprise Strategy and Portfolio Planning, Endo Health Solutions

“Both students and practitioners will benefit from reading this comprehensive, easy-to-read, and highly practical book.”
Dr. Jonathan Woo, Director, Portfolio Management & Decision Analysis, Johnson & Johnson

“…as on target as it is impressive. The authors have produced a very valuable resource. Their integration of the theory and practice of portfolio management will provide as much support for professors who must teach the topic as it will for students who must learn it and, just as important, practicing professionals who must apply it.”
Dr. Donald L. Pardew, Professor, Columbia Business School (formerly), University of Bolzano (currently)
About the Item

This unique guide and professional reference presents a structured framework for practitioners and students of project, program, and portfolio management to enhance their strategic and analytic capabilities in the evolving discipline of project portfolio management (PPM). It provides a practical, step-by-step approach to building competencies in categorizing, evaluating, optimizing, prioritizing, and managing an IT, pharmaceutical, biotech or other complex R&D-oriented portfolio of investments.

Key Features
  • Contains a unique framework for building strategic and technical competencies in enterprise portfolio management, encompassing scenario analysis & strategic planning, project categorization, integrated evaluation, portfolio optimization, project prioritization and project and portfolio management
  • Outlines best practices for successfully implementing and practicing PPM in R&D and IT enterprises, including decision framing and data integrity, resource management, stakeholder management, project/program/portfolio management office, organizational barriers to success, and a seminal section on risk analysis and risk management
  • Supplies two comprehensive case studies that clearly demonstrate the application of quantitative and qualitative portfolio selection techniques in R&D and IT
  • Illustrates robust techniques such as integer linear programming, goal programming and multiple objective decision analysis and how they can be used to prioritize and optimize the value of a portfolio subject to budgetary and human resource constraints
  • Provides a multi-dimensional capability maturity model that will enable organizations to determine their maturity level across a broad spectrum of portfolio management competencies and how to utilize these techniques to guide optimal investment decisions across the enterprise
  • WAV offers (i) assorted tables and figures from chapter 11, (ii) a slide presentation describing the utility of CREOPM™, a unique portfolio management process and methodology, (iii) an Excel analytical set-up template for the Innovations R Us Corporation case in Chapter 7 with instructions for portfolio optimization, and (iv) an Excel analytical set-up template for the Drugs R Us case in Appendix A, with instructions for decision analysis using TreePlan — available from the Web Added Value™ Download Resource Center at www.jrosspub.com
  • About the Author(s)

    Dr. Richard M. Bayney, PMP, President of Project & Portfolio Value Creation, is regarded internationally as a thought leader in the discipline of project portfolio management within the pharmaceutical and biotechnology industries. This 23-year veteran was formerly the Vice President, Portfolio Management & Decision Analysis at Johnson & Johnson Pharmaceutical Research & Development, and spent over 10 years building and leading departments in strategic planning, decision analysis, and portfolio management at Bayer, Bristol-Myers Squibb, and Johnson & Johnson. He earned an M.Sc. and Ph.D. from the University of London and an MBA from Columbia University. Richard is also a frequent speaker at industry events on decision-making under risk and uncertainty as well as risk, resource, and portfolio management, and is an adjunct faculty member at the School of Engineering and Applied Sciences and the School of Arts & Sciences at the University of Pennsylvania. 

    Ram Chakravarti is an expert in decision and risk analysis, portfolio management, enterprise architecture, IT strategy and large scale program execution in the IT sector. He has over 16 years of global IT, pharmaceutical & healthcare industry experience. Ram holds masters degrees from the Indian Institute of Science in electrical and electronics engineering and from the University of Pennsylvania in organizational dynamics specializing in decision analysis and portfolio management. He works for Oracle Americas, Inc. in their North American Enterprise Architecture practice.

    Table of Contents

    Section 1: Introduction to Enterprise Project Portfolio Management

    Chapter 1: Basic Concepts of Enterprise Project Portfolio Management 

    Section 2: Prerequisites for Enterprise Project Portfolio Management

    Chapter 2: Scenario Analysis and Strategic Planning
    Chapter 3: Decision Framing and Data Integrity

    Section 3: CREOPMTM—A Framework for Enterprise Project Portfolio Management

    Chapter 4: Project Categorization
    Chapter 5: Risk Analysis
    Chapter 6: Integrated Evaluation
    Chapter 7: Portfolio Optimization
    Chapter 8: Project Prioritization
    Chapter 9: Best Practices in Portfolio Management

    Section 4: Case Studies in Enterprise Portfolio Management

    Chapter 10: Case Study in IT Portfolio Management
    Chapter 11: Case Study in R&D Portfolio Management
    Chapter 12: Epilogue

    Appendix A: A Primer in Decision Analysis
    Appendix B: A Primer in Mathematical Programming
    Appendix C: MODA Models for IT Investment Prioritization
    Appendix D: SIRC’s Enterprise IT Portfolio

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