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Big Data Analytics: Systems, Algorithms, Applications pp 267–270Cite as

Big Data Analytics for Insurance

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Abstract

In the last few chapters, we have seen the application of Big Data Analytics to various application domains. In this chapter, we shall examine its role in insurance.

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References

  1. Mark Logic and Accord, Making sense of big data in insurance (white paper) (2013)

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  2. A. Woodie, How big data analytics is shaking up the insurance business? HPC, 5 Jan 2016. www.datanami.com

  3. McKinsey, Unleashing the value of advanced analytics in insurance. www.mckinsey.com

  4. M. Schruek, R. Shockley, Analytics: real world use of big data in insurance. IBM (m.ibm.com)

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  5. The TIBCO Blog, 4 ways big data is transforming the insurance industry, July 2015

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Author information

Authors and Affiliations

  1. National Informatics Centre, New Delhi, Delhi, India

    Dr. C.S.R. Prabhu

  2. Advanced Analytics Institute, University of Technology, Sydney, Ultimo, NSW, Australia

    Dr. Aneesh Sreevallabh Chivukula

  3. Saarland University, Saarbrücken, Saarland, Germany

    Dr. Aditya Mogadala

  4. Qure.ai, Goregaon East, Mumbai, Maharashtra, India

    Rohit Ghosh

  5. School of Computing Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, India

    Dr. L.M. Jenila Livingston

Authors
  1. Dr. C.S.R. Prabhu
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  2. Dr. Aneesh Sreevallabh Chivukula
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  3. Dr. Aditya Mogadala
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  4. Rohit Ghosh
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  5. Dr. L.M. Jenila Livingston
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Corresponding author

Correspondence to C.S.R. Prabhu .

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© 2019 Springer Nature Singapore Pte Ltd.

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Prabhu, C., Chivukula, A., Mogadala, A., Ghosh, R., Livingston, L. (2019). Big Data Analytics for Insurance. In: Big Data Analytics: Systems, Algorithms, Applications. Springer, Singapore. https://doi.org/10.1007/978-981-15-0094-7_11

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  • DOI: https://doi.org/10.1007/978-981-15-0094-7_11

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0093-0

  • Online ISBN: 978-981-15-0094-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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