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Excel Basics to Blackbelt MakeGreatMusic net

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Name:Excel Basics to Blackbelt MakeGreatMusic net

Total Size: 14.33 MB

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Last Updated: 2014-02-28 18:53:10 (Update Now)

Torrent added: 2009-08-20 22:56:33



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Excel - Basics to Blackbelt.pdf (Size: 14.33 MB) (Files: 1)

 Excel - Basics to Blackbelt.pdf

14.33 MB
 

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Professionals are expected to make decisions on a daily basis. Some of these decisions may appear trivial, such as what shirt to wear, or what to have for lunch. Some may appear routine and almost free of in-depth consideration. Should I provide my PIN number when prompted by the ATM? Should I respond (in some fashion) to a question addressed to me by a colleague? Other decisions are more complex and potentially more significant. Should I recommend that my client invest in a particular firm? Should I offer to take on additional work now that one of my current projects appears to be nearing completion? Should I purchase a new technology, given my current knowledge of its potential benefits? Should I recommend a settlement in a lawsuit, given my expectations of how the other party is likely to act in the near term? These aren’t simple questions, and we can’t expect individuals to always have immediate and appropriate answers. What we can expect, however, is some level of thought, and some level of a desire for assistance when good solutions are needed. The origin of this assistance can vary, but being the eternal tool builders that we are, we tend to find such assistance in the form of data analysis and interpretation mechanisms. Increasingly these are hightech, information-intensive mechanisms, and are ever more within our own grasp to develop and master.

We can describe such mechanisms through a range of potential – if not typical – attributes and benefits of decision support systems (DSS). Some of these attributes and benefits are shown in Figure 1.1. For many developers and analysts, only a few of the above issues and attributes are viewed as worthy of rigorous pursuit. A truly practical and forward-thinking perspective of decision support, however, will ultimately suggest a development process and finished product that at least has taken each of these issues and attributes into consideration in some shape or form. Toward this goal, the power of visualization cannot be underemphasized. As such, an understanding of how to leverage the visualization of data analysis, its results, and its implications/suggestions are naturally critical to the development of DSS.

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