over the years make it impossible to perform any kind of reliable statistical analysis on the data set. More importantly,
to attempt such would be bad science
in a survey and article highlighting the
need for good science. However, certain
high-level observations can be made of
this year’s respondent group compared
to their predecessors. While the total
number of software packages did decrease, there were several features that
now make up a larger percentage of the
respondent pool than before. They include multiple stakeholder collaboration
(71 percent in 2014), risk preference (66
percent in 2014) and selecting a best
option using multiple competing objectives (89 percent in 2014). These three
attributes are worth flagging because,
being associated largely with the “soft
skills” of eliciting and prioritizing objectives and risk preferences, they can be
overlooked in a world where data itself
is often viewed as the end solution.
Abstract Submission
is Now Open!
June 14 - June 17, 2015
Sheraton Montreal
http://meetings2.informs.org/montreal2015
a na l y t i c s
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