数字时代银行金融服务行业的云架构隐私保护

Abhishek Mahalle, J. Yong, Xiaohui Tao
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引用次数: 1

摘要

为了向客户提供易于使用和方便的服务,银行和金融服务公司已经通过手持和可穿戴数字设备启用了关键服务。随着这些设备在日常生活中用于金融交易等其他目的,客户正在留下数字足迹。这些数字数据可以被收集、存储、分析并用于了解消费者的行为、位置、品味和偏好以及货币消费习惯。基于从多个领域(社交媒体、交易分析、使用的云服务)收集的历史信息,为客户在日常生活中提供更好的选择,这是银行和金融服务公司竞争并愿意提供个性化体验的地方。使用数据进行预测是通过客户的同意,然而,并不是所有的客户都希望他们的数据被收集或使用,或者两者兼而有之。数字应用程序的用户或客户同意书带有“接受或放弃”的方法。这就是客户需求和他们的隐私相关方面受到关注和损害的地方。在本文中,我们确定了数字化侵犯客户隐私的方式,对数字平台和数据收集频率的要求进行了更改,以保护客户(个人)的独立权利。本文涵盖了收集私人数据的方法,使用私人数据进行商品和服务营销的方法,由于这些未经授权的促销活动对个人的伤害以及保护个人隐私的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Protecting Privacy in Digital Era on Cloud Architecture for Banking and Financial Services Industry
With an intention to provide easy to use and convenience to customers, Banking and Financial Services Corporations have enabled key services over handheld and wearable digital devices. With use of these devices on everyday basis for several other purpose along with financial transaction, customers are leaving digital foot prints. This digital data can be collected, stored, analysed and used to learn consumer behaviour, location, taste & preferences and monetary spending habits. Based on historical information collected from several areas (social media, transaction analytics, cloud services utilized) and developing suggestions for customer for better choices available in everyday life is where Banking and Financial Services Corporations are competing and willing to provide personalized experience. The use of data to make prediction is through consent from customer, however, not all customer would like their data being collected or used or both. The user or customer consent form over digital application comes with a “take it or leave it” approach. This is where the customer needs and their privacy related aspects are concerned and compromised. In this paper, we have identified the way digitization is breaching customer privacy, changes required over digital platform and data collection frequency to preserve customer's (an individual's) right of being let alone. This paper covers the methods to collect private data, methods to use private data for marketing of goods & services, harm to an individual due these unauthorized promotional activities and solution to protect an individual's privacy.
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