MEDEIROS, C. H. R. G.; http://lattes.cnpq.br/1153545230363733; MEDEIROS, Caio Henrique Ribeiro Garcia de.
Abstract:
In the business world, it is very important to analyze indicators for
decision making. A commonly analyzed indicator is Sales
Volume, which can be broken down by market, product line,
means of distribution, etc. Based on this indicator, one can have
clarity on how the company's sales behave and, then, decide what
actions should be taken to increase a company's profits or reduce
losses. In this way, this study aimed to analyze the behavior of the
“Sales Volume” indicator of some coffee selling companies, to
identify possible correlations and trends between markets and to
estimate the sales volume for the following year. Some techniques
of data extraction, data analysis, correlation and auto-regression
were applied to analyze and predict the sales indicator. Carrying
out the work, a database of four coffee sales companies, which
were clients of a data analysis consulting company, was used.