Data Modeling Design

Get A Delicate Balance: Portfolio Analysis and Management for PDF

By Eric Landree, Richard Silberglitt, Brian G. Chow, Lance Sherry, Michael S. Tseng

ISBN-10: 0833049097

ISBN-13: 9780833049094

This description of the applying of the RAND Corporation1s PortMan portfolio research and administration technique and Delphi consensus-building procedure for the nationwide safety enterprise (NSA) info Sharing prone (ISS) department highlights how those tools permit the data-driven research of undertaking portfolios and the allocation of analysis and improvement (R&D) and operations and upkeep (O&M) assets in line with price, threat, and value.

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Extra resources for A Delicate Balance: Portfolio Analysis and Management for Intelligence Information Dissemination Programs

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13 14 A Delicate Balance Questions for Evaluating Value and Risk Metrics During the Delphi exercise, each member of the ISS SLG was give a series of questions and a ranking scale to provide answers. At the conclusion of the final Delphi round, we converted each of the responses to a numerical score and averaged to arrive at a final estimate for each metric. As described in Chapter Two, the product of the four value metrics was used to estimate the Value of the project. The average calculated from the respondents’ answer to the risk metric question was used as the estimate for the Probability of Successful Implementation.

Addison-Wesley Publishing Company, May 1998. , and Joel M. : Project Management Institute, 2005. GAO—See Government Accountability Office. Georghiou, Luke, “Third Generation Foresight—Integrating the Socio-Economic Dimension,” The Proceeding of International Conference on Technology Foresight, Hirakawa-cho, Chiyoda-ku, Tokyo, March 2001. , and Theodore J. : American Council for the United Nations University, 2003. : World Federation of UN Associations, 2007. Gordon, Theodore, Real Time Delphi, World Federation of UN Associations, October 2007.

4 shows that the O&M projects did not contribute as much to system recovery and additional margin (based on responses to questions OM3 and OM4, see Appendix C) as they did to current operations or criticality of the final products (based on responses to questions OM1 and OM2, see Appendix C). 4 is that SERV1, the O&M project with the highest contribution to OM3 and OM4, also had the lowest consensus. For that project, only questions OM1 and OM2 had consensus; questions OM3 and OM5 (risk metric) had near-consensus, and question OM4 had non-consensus (see Appendix D, which shows consensus results by project and question).

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A Delicate Balance: Portfolio Analysis and Management for Intelligence Information Dissemination Programs by Eric Landree, Richard Silberglitt, Brian G. Chow, Lance Sherry, Michael S. Tseng

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