Real-Time Business Analytical Model Using Big Data Strategies for Telecommunication Industry

Abstract

The volume of data is growing exponentially. By 2020, about 1.7 MB of new information will be created every second for every human being on the planet. There will also be about 6 billion smartphone users and over 50 billion smart connected devices in the world. The traditional data analysis techniques will not be scalable to match the storage and processing capabilities of such high volume of data. Moreover, it becomes important to analyse these data at real-time speed. Distributed computing and platforms, such as Hadoop, will play a vital role to process these data at real-time speed to provide users with real-time reports to help users to make critical decisions. Telecommunication industry will be one of the first industries that will need to handle big data. Most of the users are connected all the time creating multiple sessions per user as well as communicating with multiple devices creating the complex high volume of data that need to be analysed. This paper will highlight the conceptual design of a real-time business intelligence model that provides insights into the telecommunication industry.