Enhanced Churn Prediction in the Telecommunication Industry
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2020, Vol 8, Issue 2
Abstract
Prediction models are usually built by applying a supervised learning algorithm to historical data. This involves the use of data analytics system that uses real-time integration and dynamic real time responses data to detect churn risks. Subscribe are increasingly terminating their membership agreement with telecommunication companies through mobile number portability (MNP) in order to subscribe to another competitor companies. To model the Customer prediction, a Markov Chain Model will be used. The Markov model allows for more flexibility than most other potential models, and can incorporate variables such as non-constant retention rate, which is not possible in the simpler models. The model allows looking at individual customer relationships as well as averages, and its probabilistic nature makes the uncertainty apprehensible. The Markov Decision Process is also appealing, but since dynamic decisions along the lifetime of the customer will not be evaluated the Markov Chain is the simplest model that still meets the requirements. Each state in the Markov Chain will represent a person being a customer for one month, with an infinite number of states. The transition probability to move from one state to the next is equivalent to a customer retaining with the operator to the next month. A customer that has churned will be considered lost forever. Once the retention and churn rates are determined, the reference churn value for each customer will be computed. The churn rate will be calculated using MATLAB Monte Carlo simulations, running a large number of fictitious customer-company relationship processes, and extracting the results of the average customer. Using simulation approach gives better result than analytical methods, since an indefinite number of states make matrix algebra complicated. It also allows visualizing the distribution of the results more easily than with algebraic calculation. To the telecom companies the result of this analysis would improve the level at which they can predict customer churn, because, it will give insight on why a customer would choose to leave one telecommunication industry for another telecommunication industry. In other words, the cost of advertisement and loyalty programs as well as challenges face in retaining loyal customers would be identified. The researcher believes that the enhanced model for churn prediction developed from this study will lead to better retention strategy, improved telecom quality service, enhanced customer loyalty due to the improvement service from applying the information from this model. The study is also significant to researchers, behavioral scientist, business analysts as well as professionals in the computer science domain. The study will serve as a good reference material for research and contribute to the growing objective of developing enhanced model built on data mining techniques that can explain the churn behavior with more accuracy than using single methods.
Authors and Affiliations
Awodele Oludele, Adeniyi Ben, Ogbonna A. C. , Kuyoro S. O. , Ebiesuwa Seun
Keywords
Related Articles
- EP ID EP747844
- DOI 10.21276/ijircst.2020.8.2.1
- Views 43
- Downloads 0
An Overview on Anti-Chronic Myelogenous Leukaemia efficacy of Spergulin A
One of the main causes of mortality in the 21st century has been cancer. Even among cancer, chronic myelogenous leukaemia (CML) is one of the main causes for cancer associated death. Despite its ubiquity the breadth of t...
A Review of the Literature on Immersive Virtual Reality in Education: Current State and Future Prospects
That's because the term "Virtual Reality" (VR) was being coined in mid-1950s, it really has evolved in numerous aspects, getting increasingly similar to the natural environment. Virtual reality is classified into two kin...
Augmented Reality Based Word Translator
People travel to different places not knowing the language used in that region. Hence there is a need to translate these unknown words to recognizable text. This application is developed to help travelers who can get the...
Students' Mathematical Communication Skills in Mathematics Learning
The capacity of students to communicate mathematical ideas mathematically is one area in which it is crucial to focus. The definition of mathematical communication abilities, metrics for assessing mathematical communicat...
Assessing the Impact of International Personnel on Local Community Dynamics
This research investigates the multifaceted impact of international personnel on local communities in Greater Noida, India, exploring socio-economic, cultural, and integrative dynamics through empirical data collected fr...