ОПТИМІЗАЦІЯ КОМЕРЦІЙНОЇ ДІЯЛЬНОСТІ ЗА ДОПОМОГОЮ ІНФОРМАЦІЙНО-АНАЛІТИЧНИХ СИСТЕМ КОГНІТИВНОГО ХАРАКТЕРУ

Abstract

Marchenko I. Optimizing businesses through information and analytical systems cognitive character. Considered and analyzed the problems of efficiency of business based forecasting and optimization through information-analytical system of cognitive nature. Analysis of factors affecting the quality and speed of work and provision of services, performing commercial enterprise. Included implicit factors in the organization of the false can lead to uncontrollable losses of the company. Identified information data between departments, information objects and information based logical model that reproduces the domain in the form of information objects and structural relationships between the light levels of the hierarchy. Built adjacency matrix. Discovered and formulated requirements for efficiency optimization and analysis to enterprise software with specific features. The mechanism of cognitive analysis of the company and identified possible scenarios in order to maximize profits and reduce possible losses. The information obtained from the automated statistical analysis, significantly affected the organization and optimization of commercial enterprises. Automated generation of various documents, certificates and bills that accelerated work management personnel and allowed to conduct more detailed monitoring of work performance and profit. These interactions algorithm derived from the use of cognitive analysis, unfinished work allowed the company to a more rational approach to the specific performance and interaction with customers, which also affects the profitability and growth perspective.

Authors and Affiliations

Irina Marchenko

Keywords

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  • EP ID EP445229
  • DOI -
  • Views 53
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How To Cite

Irina Marchenko (2017). ОПТИМІЗАЦІЯ КОМЕРЦІЙНОЇ ДІЯЛЬНОСТІ ЗА ДОПОМОГОЮ ІНФОРМАЦІЙНО-АНАЛІТИЧНИХ СИСТЕМ КОГНІТИВНОГО ХАРАКТЕРУ. Теоретичні і пракичні аспекти економіки та інтелектуальної власності, 1(15), 96-101. https://europub.co.uk./articles/-A-445229