Özet:

Today, when the national and international economic conditions are determining in determining the fields of business activity, it requires companies to use their assets and resources more effectively. Companies who do not want to face financial failure must identify their superior and weak aspects by analyzing their performance in past periods before making their strategic plans for their future activities. The purpose of this study is to identify the company’s important variables or variables that affect the company’s activities with the data mining techniques of 22 companies within the framework of the Food and Beverage Index registered in BIST. For this purpose, 8 points were calculated from the financial statements of the companies for the years 2014 - 2018. Income variables such as currency ratio, acid-test ratio, lift ratio, short-term debt / total assets ratio, stable assets / total assets ratio, long-term debt / total assets; outcome variables such as net profit margin and active profitability are also selected. Effective and non-effective companies have been found using VZA. The results of the analysis found that 11, 2015, 9, 2016, 17, 2017, 7 and 11 companies were active in 2014. The most important variable that affects the activities of companies is the net profit margin rate according to the Artificial Nervous Networks and the C5.0 Decision Tree Technique.

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