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Algorithms for Analyzing and Forecasting in a Pharmaceutical Company


  • Lucelia DEDU



This paper presents some of the utilities of using SAS code for analyze and forecast, in a pharmaceutical company. First, data must be cleaned, in order to obtain representative results. Once this stage done, the input can be evaluated and models can be created in SAS, to extract the most valuable information from the initial data. To sustain management decisions, SAS code allows creating different types of reports and has the capability to recode the initial variables into new ones, but keeping the most part of the information contained, through the technique called “principal components analysis†. Another advantage of SAS code is its capability of classifying the initial variables into compact class. Based on scorecards and WOE (Weight of Evidence), notions used in banking analyses, it has been created a model which evaluates the suppliers of the company and ranks them, in order to find out what contracts must be continued and which contracts must be closed.

Suggested Citation

  • Lucelia DEDU, 2014. "Algorithms for Analyzing and Forecasting in a Pharmaceutical Company," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 18(3), pages 103-112.
  • Handle: RePEc:aes:infoec:v:18:y:2014:i:3:p:103-112

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    References listed on IDEAS

    1. Gabriel ZAMFIR, 2013. "Learning Paradigms in e-Society," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 17(3), pages 99-113.
    2. Gabriel ZAMFIR, 2011. "Theoretical and Factual Meaning in Assisted Instruction," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 15(2), pages 94-106.
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