Abstract
The problems of predicting customer churn behavior and creating customer retention models are very important research topics for telecommunications companies. Within the scope of this research, a data analysis business process software platform architecture that will provide solutions to these problems is proposed. In this context, attributes that can be used to predict the churn of customers are also recommended for the telecom industry. A prototype software of the proposed business process software platform architecture has been developed. In the developed prototype application, the performance of customer churn behavior and promotion model prediction was examined based on accuracy metrics. The results show that the proposed business process software platform is available.
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Acknowledgment
We thank Intellica Business Intelligence Consultancy for providing us the telecom data set and for their continuous support in this case study. This study is supported by TUBITAK TEYDEB under the project ID 3170866.
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Gursoy, U.F., Yildiz, E.M., Okay, M.E., Aktas, M.S. (2022). Customer Churn Prediction and Promotion Models in the Telecom Sector: A Case Study. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2021. Lecture Notes in Networks and Systems, vol 295. Springer, Cham. https://doi.org/10.1007/978-3-030-82196-8_21
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