32ND DAAAM INTERNATIONAL SYMPOSIUM ON INTELLIGENT MANUFACTURING AND AUTOMATION DOI: 10.2507/32nd.daaam.proceedings.050 BIG DATA AND BUSINESS INTELLIGENCE: RESEARCH AND CHALLENGES IN TELECOM INDUSTRY Ivan Krasic, Stipe Celar & Zeljko Seremet This Publication has to be referred as: Krasic, I[van]; Celar, S[tipe] & Seremet, Z[eljko] (2021). Big Data and Business Intelligence: Research and Challenges in Telecom Industry, Proceedings of the 32nd DAAAM International Symposium, pp.0339-0348, B. Katalinic (Ed.), Published by DAAAM International, ISBN 978-3-902734-33-4, ISSN 1726-9679, Vienna, Austria DOI: 10.2507/32nd.daaam.proceedings.050 Abstract This paper focuses on the Big Data (BD) and Business Intelligence (BI) application in the telecom domain and the benefits it offers. Telecom companies themselves are the producers of big data on daily basis – structured and unstructured data formats from many sources. Already some level of Business Intelligences is implemented and in-use for supporting telecom daily business. We provide literature review of BD and BI state-of-art in telecom domain, example of real world use cases of BD and BI analytic, platforms, frameworks, practices and the related challenges of the further development and research trends. Keywords: big data; business intelligence; telecom; churn; literature review. 1. Introduction The rapid development of telecommunications and other large systems over the last decades has resulted in increased system complexity and data itself. Telecom operators striving to analyse large volumes of data in order to support their core business and operations. Solution was to deploy sustainable storage data systems - which differs from operating/transactional systems of historical, unaltered and multidimensional organized data that are intuitive and adapted to thinking and human inference and analysis. Today, in highly competitive market, rising era of big data (BD) is characterization of all operatory whole around world. In addition to telecom changes, proliferation of other systems directly related to telecom like Internet, Internet of Things, and Cloud Computing have led to the explosive growth of data in almost every industry and business area, affecting telecom operators too. This paper provides a short overview on how telecom operators have been striving to analyse large volumes of data in past. Thus, we explain big data paradigm with relation to business intelligence (BI) process. We then review state-of- art in BD and BI in telecom domain. Finally, we provide example of real world use cases of BD and BI analytic, platforms, frameworks, practices and the related challenges of the further development and research trends. - 0339 -