Open AccessConstruction and Risk Analysis of Marketing System Based on Deep Neural Network
Author(s) -
Xuelian Yang,
Jin Rong Bai,
Xiaolin Wang
Publication year - 2022
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0114
pISSN - 1939-0122
DOI - 10.1155/2022/4454283
Subject(s) - computer science , warning system , quality (philosophy) , product (mathematics) , risk analysis (engineering) , service (business) , alarm , marketing strategy , marketing , early warning system , business , telecommunications , philosophy , materials science , geometry , mathematics , epistemology , composite material
Enterprises needs to realize the unity of economic and social benefits. From the marketing theory, we know that the economic and social benefits form a symbiotic effect, which determines that enterprises need to pay attention to their own service quality. The current risks are in the areas of “customer relationship management” and “customer technical support,” specifically, the inability to effectively meet the needs of customers in terms of corporate infrastructure and product details, as well as the increase in costs for other customer services. The article firstly completes the construction of marketing risk early warning system, analyzes marketing risk types and formation factors, constructs indicators and mathematical modeling, then proposes the ANN combined with Petri algorithm, which is used to realize marketing risk early warning, completes sample selection and indicator quantification, sets up the early warning model, and conducts false alarm and false alarm degree analysis.