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Personal Financial Aggregation and Social Media Mining: A New Framework for Actionable Financial Business Intelligence (AFBI)

机译:个人金融聚合和社交媒体挖掘:可操作金融商业智能(AFBI)的新框架

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Consumers have been banking and trading online for several years now. More ambitious and tech savvy consumers have also been constructing an overview of their financial life by using Personal Finance software like Quicken and online tools such as Yodlee and Mint.com. Since late 1999, Personal Financial Aggregators (PFAs) have started offering internet based services to automate this process of account aggregation. This web account aggregation allows individuals to log onto one Web site and view all of their online accounts in one place. Online accounts that can be aggregated include financial sites (bank, credit card, brokerage, insurance, etc.) as well as lifestyle-based sites (travel awards, email, chat rooms, etc.). The idea behind Personal Financial Aggregation is to offer consumers their own personal portal from which they can see all their finances at a glance, balance and rebalance accounts, make investments, pay bills, etc. In addition to this Web data aggregation, consumers are relying on social media sites such as facebook, twitter and other internet forums to get financial advice from each other and also to critique various financial products and services. As a result, many Financial Institutions (FIs) are using social media analysis and mining to shape their businesses. FIs include consumer banks, brokerages, insurance, wealth management firms, etc. This paper presents a framework for financial institutions that combines social media mining, web mining, online advice engines, and web aggregation. This framework can be utilized by FIs to analyze online buzz about their products/services and combine those insights with web aggregation and online advice to create different revenue streams and to offer personalized bundled products and services. The authors conducted interviews with various executives at the Global Financial institutions and insurance companies to test and validate this framework. A comprehensive review of top service providers and vendors that can enable and drive this framework is also discussed in this paper, followed by managerial implications, benefits and challenges.
机译:几年来,消费者一直在网上银行和进行交易。更加有野心和技术精明的消费者也已经通过使用诸如Quicken之类的Personal Finance软件以及诸如Yodlee和Mint.com之类的在线工具来构建其财务状况的概览。自1999年底以来,个人理财公司(PFA)已开始提供基于Internet的服务,以自动执行此帐户聚合过程。这种Web帐户聚合使个人可以登录到一个网站并在一个位置查看其所有在线帐户。可以汇总的在线帐户包括金融网站(银行,信用卡,经纪,保险等)以及基于生活方式的网站(旅行奖励,电子邮件,聊天室等)。 Personal Financial Aggregation(个人财务聚合)背后的想法是为消费者提供他们自己的个人门户,从中可以一目了然地查看其所有财务,平衡和重新平衡帐户,进行投资,支付账单等。除了此Web数据聚合之外,消费者还依赖在社交媒体网站(例如facebook,twitter和其他互联网论坛)上互相获取财务建议,并批评各种金融产品和服务。结果,许多金融机构(FI)都在使用社交媒体分析和挖掘来塑造自己的业务。金融机构包括消费者银行,经纪公司,保险公司,财富管理公司等。本文提出了一个金融机构的框架,该框架结合了社交媒体挖掘,网络挖掘,在线咨询引擎和网络聚合。金融机构可以利用此框架来分析有关其产品/服务的在线嗡嗡声,并将这些见解与网络聚合和在线建议相结合,以创建不同的收入流,并提供个性化的捆绑产品和服务。作者对全球金融机构和保险公司的高管进行了采访,以测试和验证该框架。本文还讨论了可以启用和驱动此框架的顶级服务提供商和供应商的全面概述,然后介绍了管理方面的意义,好处和挑战。

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