A BI Tool for the AI based BI Framework for Churn Prediction of the Telco Industry and Getting the Prescriptive Decisions by Minimizing the Churning Customers

Authors

  • Rohan Samarasinghe Author
  • Hansa Perera Author

Keywords:

Data-mining, Descriptive analytic, Predictive analytic, Perspective analytic, Statistical Analysis, Visual Analytics, Business Intelligence

Abstract

Information has become an integral in both individuals and the business and a large amount of digital information in new types is being generated every moment from different data capturing devices. As today we are living in an on-demand on-command world, the data analytics is playing an increasingly critical role for making full use of it in most of the business organizations. Different forms of analytics can be found, but they don't provide the best perspective or provide the right information. To turn a company into a profitable operation, top management relies heavily on decisions, which are in turn based on the type of knowledge available. Hence, we are going to introduce a new AI based BI Framework which can be used by different businesses, industries and service providing companies for predictions and to get the prescriptive decisions. In this paper, we are going to introduce a Business Intelligence tool for the AI based BI framework to analyse the big data set and to extract the required data and create a predictive model for making the prescriptive decisions for the business. This BI tool is sophisticated, userfriendly, cost-effective and comprehensive data-driven business intelligence tool for efficient prediction, and it can be used to analyse the big data sets of the industry. The BI tool must be trained using a data set of the same industry before it is used with the large data set. The tool first extracts the data set, transform the extracted data set to the required format and then it is loaded to the BI tool to select the suitable algorithm. The tool has a set of pre-defined algorithms and the loaded data set is analysed using these algorithms and get the percentage of accuracy in each algorithm we introduced with the tool. Then the end-users will be able to select the suitable algorithm for the data set and then it can be used with the big data set of the similar industry. The AI based BI framework provides the facility for many cross industries and businesses. In this work, we focused on the Telco Industry and we implemented our novel Business Intelligence tool for that industry. Because they are facing problems in finding hidden patterns in their large chunk of data which may have a big impact on their decision-making process. Most telecommunication companies are suffering from churn (customer leaving the service) of their customers day by day due to high competition within the competitor telco companies. This churning will badly effect to the huge financial losses and survival of such companies. The experiment result showed more than 90% accuracy of selecting the right churn customers and the tool helped to make the prescriptive decisions to the top management to minimize churning.

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Published

2020-12-31

Issue

Section

Articles