Análise do comportamento do indicador de volume de vendas com variação no tempo.

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.