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Excel basics to blackbelt : an accelerated guide to decision support designs / Elliot Bendoly.

EBSCOhost Academic eBook Collection (North America) Available online

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Format:
Book
Author/Creator:
Bendoly, Elliot, author.
Language:
English
Subjects (All):
Decision support systems.
Microsoft Excel (Computer file).
Physical Description:
1 online resource (vii, 333 pages) : digital, PDF file(s).
Place of Publication:
Cambridge : Cambridge University Press, 2008.
Language Note:
English
Summary:
Excel Basics to Blackbelt is intended to serve as an accelerated guide to decision support designs. Its structure is designed to enhance the skills in Excel of those who have never used it for anything but possibly storing phone numbers, enabling them to reach a level of mastery that will allow them to develop user interfaces and automated applications. To accomplish this, the major theme of the text is 'the integration of the basic'; as a result readers will be able to develop decision support tools that are at once highly intuitive from a working-components perspective but also highly significant from the perspective of practical use and distribution. Applications integration discussed includes the use of MS MapPoint, XLStat and RISKOptimizer, as well as how to leverage Excel's iteration mode, web queries, visual basic code, and interface development. There are ample examples throughout the text.
Contents:
Necessary foundations for decision support
Getting data
acquisition, linkage, and generation
Structuring problems and option visualization
Simplification tactics
The analytics of optimization
Complex optimization
Controlled simulation analysis
Scenario generation and optimization
Visualizing complex analytical dynamics
VB editing and code development
Automating application calls
Guided and user-friendly interfaces.
Notes:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Includes index.
ISBN:
1-107-18759-1
1-281-75145-6
9786611751456
0-511-41480-3
0-511-41321-1
0-511-41548-6
0-511-41228-2
0-511-75373-X
0-511-41415-3
OCLC:
437219433

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