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Big data analysis method and system
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An analysis method and analysis system technology, applied in the field of big data analysis methods and systems, can solve the problems of high loan risk, low customer loan risk, and large customer base, and achieve the effect of improving reliability.
Pending Publication Date: 2020-09-15
北京睿知图远科技有限公司
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Problems solved by technology
However, the problem faced by financial institutions is: the customer base is very large, some customers have high loan risk, and some customers have low loan risk
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Embodiment 1
[0060] A big data analysis method such as figure 1 As shown, the method includes:
[0061] S1. Acquire or collect brokerage business data, partner data, application data, behavior and operation data of various network objects, and dynamically configure relevant parameters;
[0063] S3. Statistically analyze real-time data, obtain real-time calculation results, and perform task adjustment on the real-time analysis algorithm load;
[0064] S4. Visually display the real-time calculation results.
[0065] The working principle of the above technical solutions, the data in the data collection module refers to the customer behavior information collected on the PC terminal or mobile terminal through API, SDK, JS and other software methods; the brokerage business data mainly includes the stock exchange to open and centralized Centralized transa...
Embodiment 2
[0083] A big data analysis system such as figure 2 As shown, the system includes:
[0084] Data acquisition module, acquire or collect brokerage business data, partner data, application data, behavior and operation data of various network objects, and dynamically configure relevant parameters;
[0085] The model algorithm module is used to perform PCA algorithm processing and principal component analysis on the collected data, and obtain the data after dimension reduction;
[0086] Statistical analysis module, which is used to obtain real-time calculation results and adjust tasks for real-time analysis algorithm load;
[0087] The visualization module is used to visualize the real-time calculation results.
[0088] The model algorithm module further includes:
[0089] The data preprocessing module is used for preprocessing the collected data, and the preprocessing includes one or more categories of data cleaning, data integration, data transformation and data reduction.
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technical field [0001] The invention relates to the technical field of big data, in particular to a big data analysis method and system. Background technique [0002] In the era of the Internet, financial services have become more consumer-centric rather than product-centric. As customers' needs for financial products gradually diversify, we need to segment customers and develop and design services for them. To this end, customer portraits can help financial institutions such as banks to complete the three steps of understanding customers, finding target customers, and reaching customers. [0003] At the same time, due to the changing consumption habits of customers, financial institutions cannot contact every customer and thus cannot understand customer needs. The differentiation of customer needs has led to the need for financial institutions to use customer portraits to understand customers and provide different services. However, the problem faced by financial institu...
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