Enterprise Information System (EIS) Value Assurance Framework (VAF) Risk-Reward Optimization
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Authors
Gunderson, Christopher R.
Subjects
Agile acquisition
network systems engineering
open system approach
OSA
cloud
gov cloud
Information Assurance
IA
Cross Domain Solution
CDS
service oriented architecture
enterprise information system
VAF
value assurance framework
network systems engineering
open system approach
OSA
cloud
gov cloud
Information Assurance
IA
Cross Domain Solution
CDS
service oriented architecture
enterprise information system
VAF
value assurance framework
Advisors
Date of Issue
2014-04
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
Large Enterprise Information Systems (EIS) projects fail at an alarming rate – especially within the government. Hence, EIS project managers do not typically manage risk effectively. Meanwhile per Moore’s Law, available computational power increases exponentially, or equivalently, cost-per unit of computational power decreases exponentially. Exponentially expanding computational power fuels exponentially better device performance, which provides exponentially improved customer experiences. Moore’s Law is the most recent formulation of the long-observed exponentially decreasing cost per unit of technological functionality. This exponential law is a self-sustaining artifact of competitive pressure. To compete successfully, vendors must continually evolve their offerings per customer expectations. Successful risk management strategies peg all activities to the overarching requirement to a) sustain or harvest the baseline exponential performance-per-cost growth rate, and b) differentiate their specific offerings on the basis of customer perceptions of delivered value-per-cost. Value Assurance Framework (VAF) translates best practices for risk management from traditional exponentially evolving manufacturing sectors, to the much more abstract requirements and less well-established discipline of EIS engineering and acquisition. VAF also applies successful practices for predicting risk in the volatile financial sector to capture additional departures from traditional systems engineering approaches necessary to harvest value from the volatile COTS IT sector.
Type
Technical Report
Description
Series/Report No
Department
Information Sciences (IS)
Identifiers
NPS Report Number
NPS-IS-14-003
Sponsors
John Snevely; Office of the Undersecretary of Defense for Intelligence, 1400 Defense Pentagon,Washington, DC 20301
Funder
Office of the Undersecretary of Defense for Intelligence (OUSD(I))
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.