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 technique and Delphi consensus-building procedure for the nationwide safety service provider (NSA) details Sharing prone (ISS) department highlights how those equipment let the data-driven research of venture portfolios and the allocation of analysis and improvement (R&D) and operations and upkeep (O&M) assets in accordance with price, danger, and price.
Read Online or Download A Delicate Balance: Portfolio Analysis and Management for Intelligence Information Dissemination Programs PDF
Similar data modeling & design books
Long ago ten years, the curiosity within the practical and structural points of carbohydrates and glycoconjugates has elevated drastically. nice insights were made into the mode of motion of glycans in cells, tissues, organs and organisms. As progressively more info turns into recognized implicating carbohydrates in organic functionality, expanding strain is put on all facets of biophysical easy methods to adapt and strengthen so as to supply structural perception into the biology of carbohydrates and conjugated glycans.
This monograph describes tools for extending relational database structures for geographic purposes. The ways that a relational database approach is supplemented with unconventional spatial indexing buildings, extra spatial subsystems and question processors are defined in nice aspect. The paintings provides an in depth survey of present spatial indexing innovations and a taxonomy of the extensions to the multidimensional indexing constructions.
How do you employ R to import, deal with, visualize, and examine real-world info? With this brief, hands-on educational, you how one can acquire on-line facts, therapeutic massage it right into a average shape, and paintings with it utilizing R amenities to have interaction with net servers, parse HTML and XML, and extra. instead of use canned pattern facts, you will plot and study present domestic foreclosures auctions in Philadelphia.
- Designing Sorting Networks: A New Paradigm
- A developer's guide to data modeling for SQL server : covering SQL server 2005 and 2008
- Data Types and Persistence
- Data Analysis in Molecular Biology and Evolution
- Computer and Computing Technologies in Agriculture II, Volume 3: The Second IFIP International Conference on Computer and Computing Technologies in Agriculture ... in Information and Communication Technology)
- Information Systems Management in the Big Data Era
Additional info for A Delicate Balance: Portfolio Analysis and Management for Intelligence Information Dissemination Programs
4, project SERV1 provides almost twice as much value along metrics OM3 and OM4 compared to all the other O&M projects. However, for program budgets less than that of Column F, there are insufficient funds to include SERV1 and still achieve the highest possible Portfolio EV. This suggests that, below this funding level, capabilities associated with those two metrics will decrease significantly unless a portfolio with less than the maximum total EV is chosen. In other words, in this program budget range, there is a tradeoff between total EV and value metrics OM3 and OM4, which represent the capabilities of margin and recovery.
Therefore, without project A, there is no value in funding project B. For this study however, ISS did not provide detailed information on the interdependencies that exist between projects. Thus, the simplifying assumptions described above were adopted for the analysis. The fiscal year 2008 (FY08) cost for each individual project and the total FY08 program budget were provided to RAND by ISS. This cost information was integrated into the LP portfolio selection process and analyzed for two separate cases.
For simplicity, in this example we assume only a single value metric. In Chapter Three we will combine the individual value metrics obtained from the SLG Delphi exercise to obtain an estimated value for each project. Each project is represented by a single circle or spot, the diameter of which reflects the consensus or agreement on the metrics for each project; the lower the consensus the larger the spot size, and the higher the consensus the smaller the spot size. , value metric times risk metric).
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