Open AccessBusiness Value of Telecom Operators’ Big Data
Author(s) -
Ying Hong,
Li Zheng,
Jun Wang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1437/1/012067
Subject(s) - enhanced telecom operations map , telecom infrastructure sharing , telecommunications , big data , the internet , data as a service , business , business value , next generation network , value (mathematics) , computer science , marketing , service (business) , world wide web , service provider , data mining , economic growth , economics , human capital , machine learning
Big data is one of the infrequent resources in the 21st century, especially for Internet & Mobile Internet industries. Telecom operators have large amount of precious data. Through analysis of the features of telecom operators’ data, this study highlights the value of telecom big data in business and classifies it into two major categories. The first one is enhancing existing business to optimize traditional telecom services, like customer experience, telecom product design and network management. The other is developing derivative business such as advertisement, marketing, financial or credit services based on the strength of telecom big data. This preliminary research provides insights into the value development of telecom operators’ data on account of targeted discussion about practical application for telecom big data.