TECHNIQUE OF DATA MINING APPLICATION ON ENTERPRISES AND ORGANIZATIONS OF SMALL AND MEDIUM BUSINESS

DOI 10.32651/221-66

Issue № 1, 2022, article № 11, pages 66-73

Section: Problems of agroeconomic researches

Language: Russian

Original language title: МЕТОДИКА ПРИМЕНЕНИЯ ИНТЕЛЛЕКТУАЛЬНОГО АНАЛИЗА ДАННЫХ В ДЕЯТЕЛЬНОСТИ ОРГАНИЗАЦИЙ МАЛОГО И СРЕДНЕГО БИЗНЕСА

Keywords: DATAMINING, KNOWLEDGE DISCOVERY IN DATABASES, DATA MINING, EXTRACTION OF KNOWLEDGE, QUALITY OF MANAGEMENT DECISIONS, CLEANING OF DATA, FORECASTING OF SALES, SEGMENTATION, ANALYSIS OF A CONSUMER BASKET, ANALYTICAL PLATFORM, SMALL AND MEDIUM BUSINESS

Abstract: In article the task of management quality improvement in the sphere of small and medium business is considered. Application of Knowledge Discovery in Databases and Data Mining will allow increasing quality of the accepting management decisions that directly affects success of business. It causes relevance of research. An object of research is Data Mining. In the course of the research by means of expert poll three main problems were revealed: the management personnel do not know absolutely about Data Mining; lack of the specialized software at the enterprises for data mining; absence of the qualified personnel for implementation of Data Mining and results interpretation. The technique of Data Mining application in work of the small and medium business organizations and enterprises is developed for improvement of the management decisions quality on the basis of the gained new knowledge. Technique stages are listed and opened. Results of approbation a technique on the example the «Sklad59.ru» company by means analytical software «Deductor Academic» are presented. As an example, on the basis of data sales are carried out: forecasting of the general sales, forecasting of sales on groups and separate goods; analysis a consumer basket, cluster analysis, statistical and qualitative analytics. The offered technique will allow increasing quality of administrative management at the small and medium business enterprises.

Authors: Kozlov Aleksei Nikolaevich