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.
CITATION STYLE
Shrivastava, P., Sahoo, L., & Pandey, M. (2018). Recognition of telecom customer’s behavior as data product in CRM big data environment. In Smart Innovation, Systems and Technologies (Vol. 79, pp. 165–173). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-10-5828-8_16
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