时序大数据实时分析技术在金融行业的实践  

The Real-Time Analysis of Sequential Big Data in the Financial Industry

作　　者：无 

机构地区：[1]浙江邦盛科技有限公司

出　　处：《中国货币市场》2020年第2期29-31,共3页China Money

摘　　要：对金融行业来说,本质的问题不仅是获客和运营,更是风险控制。随着互联网技术的迅猛发展,金融机构纷纷加快战略转型步伐,加快数据化、线上化、场景化金融服务建设。邦盛科技在金融领域深耕多年,独立研发的时序大数据实时智能技术“流立方”,突破大数据分析技术瓶颈,在银行、第三方支付、证券、保险、互联网金融等多个场景实现落地应用,显著提升金融服务效能。For the financial industry,the essential issues include not just customer acquisition and business operation,but also risk management.With the rapid development of Internet technology,financial institutions have accelerated the pace of strategic transformation and speeded up the construction of data-based,online and scenariobased financial services.Bangsheng Technology has been working in the financial sector for many years.Its independently developed real-time smart analytical technology of sequential big data,"Stream Cube",breaks through the technological bottleneck of big data analysis,which has been used in multiple scenarios in banking,third party payments,securities,insurance and Internet finance,and can significantly improve the efficiency of financial services.

关 键 词：互联网金融 金融行业 金融机构 战略转型 第三方支付 大数据 独立研发 实时分析 

分 类 号：F83[经济管理—金融学]