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Financial Analytics With Big Data

Financial Analytics With Big Data
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Author(s): Leon Wang (Big Data Club, USA)
Copyright: 2023
Pages: 13
Source title: Encyclopedia of Data Science and Machine Learning
Source Author(s)/Editor(s): John Wang (Montclair State University, USA)
DOI: 10.4018/978-1-7998-9220-5.ch114

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Abstract

Like in other industries, financial institutions are facing a new era of big data, which plays the leading role in transformation of financial and economic environment. This article dives into why big data is important in the financial field, and how the information it provides is useful and helpful to corporations and companies. Applying big data analytics provides financial firms with insight into how they can detect fraud, conduct real-time analytics, deal with risk, and direct customer portfolio. Specific personalized services can be offered for their customers via customer portfolio management, customer data management, and analytics, even with real-time analytics. Corporations can better forecast financial markets, trends, patters, and irregularities. Therefore, financial analytics has become a fundamental instrument for finance firms, professional, and individual investors, as well as financial researchers.

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