1. Big data services based on mobile data and their strategic importance
- Author
-
Firicel Mone and Visan Maria
- Subjects
Service (business) ,0209 industrial biotechnology ,Process management ,business.industry ,Computer science ,Big data ,Mobile computing ,Cloud computing ,Unstructured data ,02 engineering and technology ,Competitive advantage ,Organizational performance ,Identification (information) ,020901 industrial engineering & automation ,Business intelligence ,Component-based software engineering ,0202 electrical engineering, electronic engineering, information engineering ,Data analysis ,020201 artificial intelligence & image processing ,business ,Tourism - Abstract
Telecom companies are sitting on a gold mine because they own a huge amount of data. Once data are unlocked, this can develop competitive advantages and generate new sources of revenue. In the context of increased competitiveness, rapid technological evolution and alignment with global telecoms rules, this approach ensures openness to other related service categories, allowing both the internal transformation of the operator — by operational efficiency or by reducing costs, but also externally — through providing new services as a data provider (i.e. tourism, public services, transportation, etc.). In order to extract the strategic meaning of the data and transform it into actionable information, we propose a detailed analysis of the current state of knowledge regarding Business Intelligence in Telecom (Big Data, Data Analytics, Cloud, and mobile computing), identifying the portfolio of possible areas of application and their impact. This approach involves the identification of structured and unstructured data sets, internal or external to the operator. The primary purpose is to determine the answer to the following questions: “where are the data used?” or “is the data used in the most profitable way (for better measurement of organizational performance, avoidance of investment, generation of related service options that can be offered to other interested partners)?” We also need to analyze the architectures or software components for data analysis and business intelligence platforms. These issues will assist existing decisions, capitalizing data richness taking into account the development of telecommunication market. We will define which steps are the necessary for value the Big Data, highlighting their originality in the Romanian and international telecommunication market.
- Published
- 2018