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A decision support system application module - for PESTLE analysis - competitive intelligence algorithm
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Orientador(es)
Resumo(s)
In today’s competitive environment, board directors of companies strive to make the
right decisions that will put them ahead of their competitors. However due to the volatility
of the company’s external environments any decision has its inherent risks. This thesis aims
to apply the Python Programming Language to develop a specific module of a Decision
Support Tool that intends to predict market movements, trading position and potential, and
operations orientation. The module that will be the scope of this thesis will consist in the
creation of a predictive model for countries political factors based in public databases with
political indexes all over the globe. This module refers to the first factor to consider in a
PESTLE analysis.
Descrição
Project Work report presented as partial requirement for obtaining the Master’s degree in
Information Management, with a specialization in Knowledge Management and Business
Intelligence.
Palavras-chave
DSS Competitive Intelligence PESTLE Python Neural Networks