By Eric Landree, Richard Silberglitt, Brian G. Chow, Lance Sherry, Michael S. Tseng
This description of the appliance of the RAND Corporation1s PortMan portfolio research and administration strategy and Delphi consensus-building process for the nationwide defense corporation (NSA) info Sharing providers (ISS) department highlights how those tools allow the data-driven research of venture portfolios and the allocation of analysis and improvement (R&D) and operations and upkeep (O&M) assets in response to worth, hazard, and value.
Read Online or Download A Delicate Balance: Portfolio Analysis and Management for Intelligence Information Dissemination Programs PDF
Best data modeling & design books
World-renowned specialist Rebecca M. Riordan has written the definitive database layout e-book for operating builders who are usually not database specialists. irrespective of how messy or advanced your online business problem, Designing potent Database platforms indicates you the way to layout a good, high-performance database to resolve it.
Company Modeling and information Mining demonstrates how genuine global company difficulties should be formulated in order that facts mining can solution them. The recommendations and strategies provided during this publication are the fundamental development blocks in figuring out what types are and the way they are often used virtually to bare hidden assumptions and wishes, be certain difficulties, detect facts, be certain bills, and discover the entire area of the matter.
This e-book constitutes the refereed lawsuits of the fifth overseas Symposium on Stochastic Algorithms, Foundations and purposes, SAGA 2009, held in Sapporo, Japan, in October 2009. The 15 revised complete papers provided including 2 invited papers have been rigorously reviewed and chosen from 22 submissions.
Content material: Preface, Pages xxiii-xxiv, Cornelius T. LeondesContributors, Pages xxv-xxx1 - historical past and functions, Pages 1-22, John Durkin2 - instruments and functions, Pages 23-52, John Durkin3 - improvement and functions of determination timber, Pages 53-77, Hussein Almuallim, Shigeo Kaneda, Yasuhiro Akiba4 - Reasoning with imperfect details, Pages 79-117, Simon Parsons5 - Experimental layout and determination aid, Pages 119-170, Tay Kiang Meng6 - A model-based specialist method according to a website ontology, Pages 171-196, Yoshinobu Kitamura, Mitsuru Ikeda, Riichiro Mizoguchi7 - clever procedure keep an eye on: A unified process and purposes, Pages 197-265, Hui-Min Huang, Harry Scott, Elena Messina, Maris Juberts, Richard Quintero8 - Real-time fault-tolerant keep watch over platforms, Pages 267-304, Wei Liu9 - version of Reasoning with Conflicting info assets in Knowledge-Based structures, Pages 305-325, Jinxin Lin10 - approach making plans in layout and production structures, Pages 327-380, Mahmut Gülesjn11 - clever platforms strategies and Their program in production structures, Pages 381-410, Tien-Fu Lu, Grier C.
- Applied Fuzzy Arithmetic: An Introduction with Engineering Applications
- Transactions on Large-Scale Data- and Knowledge-Centered Systems XX: Special Issue on Advanced Techniques for Big Data Management
- Absolute beginner's guide to databases
- Beginning Big Data with Power BI and Excel 2013
Extra info for A Delicate Balance: Portfolio Analysis and Management for Intelligence Information Dissemination Programs
The must pay projects (red) show a bimodal distribution with a majority of the projects located in the lower right quadrant. The remaining must pay projects were located near the center of the chart, and appeared to have a significantly higher degree of value and risk compared to the rest of the must pay projects. By contrast, the discretionary projects (green) had a more continuous distribution. However, it is important to note that the level of risk for all of the projects in the portfolio was low.
The RAND PortMan Method 9 project. The ISS portfolio consisted of 17 projects. , one question for each metric), for a total of 85 questions. Ten members of the ISS SLG participated in the Delphi exercise. , one-half of the group plus one) or more agreeing on the answer to a question. Near-consensus was defined as five members of the Delphi group agreeing on the same answer, and non-consensus as less than half of the SLG or fewer agreeing on any one answer to a particular question. As will be demonstrated in detail in Chapter Three, a high level of consensus was achieved among the participants in the Delphi exercise.
The gray lines show standard deviation of the responses at the conclusion of the Delphi exercise. The calculated total EV is shown in parentheses next to the title of each project (see Appendix A for project titles and descriptions). The four 5 To reiterate: Value is determined as the product of the four component value metrics. This method of combining the value metrics highlights the differences between projects, as compared to the sum of the metrics. 2) of the maximum possible expected value of 1,024.