Research On The Application Of Large Data Of Telecom Operators In Credit Products

One of the hottest topics this year was proposed by Premier Li Keqiang "public business, Peoples innovation," the core of entrepreneurial innovation is the development of small and micro businesses, so how to better serve small and micro enterprises on the basis of financial institutions on risk prevention Financial services has become a focal point, which is promoting the blowout development of credit business.However, the current most widely used mode of traditional credit, there are still high cost, low efficiency, data lag, accuracy and low, we can not meet today mainly small and fast credit market. Need to be a convenient and efficient way to accommodate this change credit. Thus was born the use of large data conducted credit business. A person can be through the analysis of large data and other details of life from scratch and multi-dimensional portraits recovery, a more realistic situation to show the customer’s credit, effectively preventing its particular aspect of camouflage. Big Data credit products at home and abroad are not the same depending on the respective characteristics and advantages of its application data source.Carriers on the basis of data from the CRM system, the main source of population attributes and business information as well as location-based signaling networks and Internet tracks. Such data as the Internet’s most underlying data stream has wide coverage, high quality, variety and more features, and BAT and other Internet companies are more consistent compared to data sources, data analysis has to carry out large unique advantage. The cornerstone is the accumulation of these large data bank credit assessment for operators of large data applications in terms of the foundation of credit related degree.This paper describes the current context of credit business and big data development, depth of analysis problems of traditional credit model, followed by introduction of credit and the basic characteristics of the two concepts of big data provide theoretical support for subsequent analysis, at the same time, a detailed description about the telecom operators of large data base of capabilities and associated information security regulations. Then Jiangsu Telecom’s "wisdom credit" for example, from a risk assessment model, application processes and product characteristics to analyze the application of the overall product realization. Finally, the "wisdom of the credit" product by listing part of the actual application data to analyze the effectiveness of their application, while the "wisdom credit" credit products and sesame, Tencent credit, CDG credit, loan-pat, Zestfinance at home and abroad Large mainstream credit products to compare data, suggest improvements for the deficiencies.Currently, the big data credit business is promoting the development of Internet banking, the United States in the use of credit minutes later, small consumer credit approval can be shortened from the past 12 hours to 15 minutes. Meanwhile, Big Data can break through from earnings, mortgages and evaluation of enterprise credit guarantee traditional thinking, analysis into business activities of enterprises to analyze credit characteristics of the enterprise, it can effectively reduce the credit threshold, to enhance the vitality of small and micro enterprises. Moreover, large data reduction credit bad credit, lower credit costs and achieve a balance between risk and market also has important applications results. Visible, large data credit in the financial system has become an integral part of the future.And by "wisdom credit" products can be seen, telecom operators of large data credit for its massive data-rich, timely and comprehensive risk warning, efficient processing platform, using visual perception and other product characteristics. For the financial industry, the insurance industry, the retail industry and the financial industry to provide Internet information verification, valuation and risk control, and other functions, and thus enhance the front bank loans and credit risk analysis capabilities monitoring capabilities, reduce the approval process, improve customer management level, effectively reducing the risk of bank loans, improve bank earnings.But we should also be aware of the current telecom operators to carry out large data services, especially credit business is still in its infancy stage, from the "wisdom credit" product point of view, there are still products on the degree is not high, market adaptability and poor, it still needs the national policy and market test, and constantly improve the product features to improve product flexibility, in order to seize a place in the future large-scale development of the credit market.At the same time, telecom operators are also currently saddled with "Speed drop fee" tremendous pressure to expand credit by such large data value-added services, but also for telecom operators in the transformation of the Internet on the road full advantage of big data, explore a new revenue growth.