Abstract
In recent years, with the advent of the internet of things (IOT), computers and information technology (IT), small and medium-sized enterprises (SMEs) have been immersed in a cluster of information difficult to analyze in a conventional way which provides value that can ensure its permanence and survival in the market. Therefore, it is important to make use of data mining technology tools and statistical techniques that help analyze and better understand the information generated by sales processes, through a thorough analysis of the data. For this research, the IBM Cognos Analytic tool was used, which provides a predictive data visualization and analysis service that can be used to determine patterns, relationships, associations and meaning of a large set of data quickly and in a timely manner. Likewise, statistical techniques such as correlation and simple linear regression were used to establish the behavior of the company's product demand in the marketing, manufacturing and importation of the cleaning product sector.
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