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Big Data Analytics Enabled Smart Financial Services: Opportunities and Challenges

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Book cover Big Data Analytics (BDA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10721))

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Abstract

Of late, the financial services industry is fast moving away from the traditional paradigm to the sophisticated digital way of dealing and the customer. Both the facets of the financial service industry, viz., the financial service provider and the customer are going through a digital evolution. In particular, banking industry has evolved from just journal and ledger entry paradigm to data and analytics driven banking operations, which subsumes online as well as offline customer behavior. This paper discusses various scenarios in baking, finance services and insurance (BFSI) areas, where big data analytics is turning out to be paramount. The paper also highlights the potential benefits, of the new-age technologies viz., Internet of Things (IoT), Blockchain, Chatbots and robotics.

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Author information

Authors and Affiliations

  1. Centre of Excellence in Analytics, Institute for Development and Research in Banking Technology, Castle Hills Road No. 1, Masab Tank, Hyderabad, 500057, India

    Vadlamani Ravi & Sk Kamaruddin

  2. SCIS, University of Hyderabad, Hyderabad, 500046, India

    Sk Kamaruddin

Authors
  1. Vadlamani Ravi
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  2. Sk Kamaruddin
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Correspondence to Vadlamani Ravi .

Editor information

Editors and Affiliations

  1. International Institute of Information Technology, Hyderabad, India

    P. Krishna Reddy

  2. Rajiv Gandhi Education City, Sonepat, India

    Ashish Sureka

  3. University of Texas at Arlington, Arlington, Texas, USA

    Sharma Chakravarthy

  4. University of Aizu, Aizu-Wakamatsu, Japan

    Subhash Bhalla

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Ravi, V., Kamaruddin, S. (2017). Big Data Analytics Enabled Smart Financial Services: Opportunities and Challenges. In: Reddy, P., Sureka, A., Chakravarthy, S., Bhalla, S. (eds) Big Data Analytics. BDA 2017. Lecture Notes in Computer Science(), vol 10721. Springer, Cham. https://doi.org/10.1007/978-3-319-72413-3_2

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  • DOI: https://doi.org/10.1007/978-3-319-72413-3_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-72412-6

  • Online ISBN: 978-3-319-72413-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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