Application of Big Data Technology in Risk Prediction

Lingling Dong
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Abstract

Big data analysis is characterized by a large amount of data, fast speed, multiple types, value, and authenticity. It is often applied to the data warehouse, data security, data analysis, data mining, and others. We built a big data-based risk prediction model by collecting the necessary data from 2012 to 2019, analyzed the application status in risk management. We found that the concept and mechanism of management are not reasonable, and put forward corresponding suggestions.
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大数据技术在风险预测中的应用
大数据分析具有数据量大、速度快、类型多、价值大、真实性强等特点。它通常应用于数据仓库、数据安全、数据分析、数据挖掘等领域。通过收集2012 - 2019年的必要数据,构建基于大数据的风险预测模型,分析其在风险管理中的应用现状。我们发现管理理念和管理机制不合理,并提出了相应的建议。
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