Research on Decision Support Service Model based on Big Data
AUTHORS
Ahmed Rizk,Beni Suef University, Egypt
ABSTRACT
With the rapid development of big data, the potential value of data resources urgently needs to be tapped and utilized. More and more companies choose the form of alliances to realize the complementary advantages of data resources. Through the sharing of data resources of alliance members, it can flexibly support corporate decision-making according to market needs and provide decision-making support services for society more efficiently. Based on the analysis of the research status and related concepts of big data alliances, decision support, service models in various countries, this paper reveals the coupling mechanism of big data alliance decision support services based on the hypercycle theory. On this basis, according to the characteristics of user needs, two decision support service models of big data alliance based on complete user information and incomplete user information are constructed. Decision support service model based on complete user information, including user demand description, information search and matching, service plan formation and delivery and feedback, and interactive and follow-up service methods. Decision support service mode based on incomplete user information, including user demand mining, missing information supplementation, service plan formation, and delivery and feedback, and detailed consultation and multiple negotiation service methods. The Big Data Alliance focuses on promoting cooperation among various industries in the process of providing decision support services. Vigorously promote the application of big data and the technological achievements of the big data alliance in various industries, and realize the complementation of data resources in different industries and multiple dimensions. Promote the overall development level of member companies in the Big Data Alliance.
KEYWORDS
Big data, Decision support, User information, Service model
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