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Proceedings of First International Conference on Smart System, Innovations and Computing pp 165–173Cite as

Recognition of Telecom Customer’s Behavior as Data Product in CRM Big Data Environment

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 79))

Abstract

This paper approaches toward the standardization of telecom customer’s behavior by specifying the call activities like frequency, duration, time of calls with the type of calls like local, national, and international. In the same way specifying the SMS/MMS activities as behavior of customers plus the rate of data pack and talk-time recharge. It is an attempt to identify meaningful attributes to describe behavior of customer plus study the available call detail records in big data environment and recognize the procedure that uses customer behavior for the designing of data product which is tariff plan.

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Author information

Authors and Affiliations

  1. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Puja Shrivastava, Laxman Sahoo & Manjusha Pandey

Authors
  1. Puja Shrivastava
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  2. Laxman Sahoo
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  3. Manjusha Pandey
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Corresponding author

Correspondence to Puja Shrivastava .

Editor information

Editors and Affiliations

  1. College of Engineering, Iowa State University, Ames, Iowa, USA

    Arun K. Somani

  2. Department of Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sumit Srivastava

  3. Department of Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India

    Ankit Mundra

  4. Department of Electronics and Communication Engineering, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sanyog Rawat

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Shrivastava, P., Sahoo, L., Pandey, M. (2018). Recognition of Telecom Customer’s Behavior as Data Product in CRM Big Data Environment. In: Somani, A., Srivastava, S., Mundra, A., Rawat, S. (eds) Proceedings of First International Conference on Smart System, Innovations and Computing. Smart Innovation, Systems and Technologies, vol 79. Springer, Singapore. https://doi.org/10.1007/978-981-10-5828-8_16

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  • DOI: https://doi.org/10.1007/978-981-10-5828-8_16

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5827-1

  • Online ISBN: 978-981-10-5828-8

  • eBook Packages: EngineeringEngineering (R0)

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