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Enterprise Project Portfolio Management: Building Competencies for R&D and IT Investment Success

Brand: J. Ross Publishing

$16.02 - $108.20
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UPC:
9781604270600
Maximum Purchase:
2 units
Binding:
Hardcover
Publication Date:
2012-09-04
Author:
Richard M. Bayney;Ram Chakravarti
Language:
english
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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 and strategic planning, project categorization, integrated evaluation, portfolio optimization, and project prioritization
--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
--WAV offers (i) a slide presentation describing the utility of CREOPM, a unique portfolio management process and methodology, (ii) an Excel analytical set-up template for the Innovations R Us Corporation case in Chapter 7 with instructions for portfolio optimization, and (iii) 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 jrosspub.com