Study Platform for Complex Data Analysis of Telecommunications and Social Network Applications Using Business Intelligence Cover Image

Study Platform for Complex Data Analysis of Telecommunications and Social Network Applications Using Business Intelligence
Study Platform for Complex Data Analysis of Telecommunications and Social Network Applications Using Business Intelligence

Author(s): Radu Rădescu, Valentin MURARU
Subject(s): Social Sciences, Education, Higher Education
Published by: Carol I National Defence University Publishing House
Keywords: Learning platform; Complex data analysis; Telecommunication applications; Social networks; Business Intelligence; Quality indicators (KPIs);

Summary/Abstract: The present work involves the development of a learning model for the analysis of data from telecommunication and social networks for devices that make data sessions and voice calls, using Business Intelligence (BI) concepts and tools. The paper has a multi/interdisciplinary character, calling for e-learning, telecommunication, database, programming, IT applications and social/business networks. The applications developed for this purpose allow the analysis of Key Performance Indicators (KPIs) by applying filters that make easier to understand the general problems of an application and identify network areas where possible degradation or shortcomings are observed. Business Intelligence analysis is predominantly conducted in the telecommunications field, but the same principles can be used in other areas, and the way of working can be adapted to serve as a strong starting point in any type of analysis for which information is available at the level of a database. It is defined a graphical interface by creating, where necessary, maps of geo-tagged data, filters, graphs, pivot tables, pie-charts, histograms, etc. across multiple display sheets, organized to contain the information specific to a particular analysis, thereby creating an analytical context in which the information required for use in the analysis is arranged adjacent, in the form of filters or graphs, the results being easier to interpret by introducing color coding formulas. Another important aspect is the low analysis time, due to the fact that the data automatically undergoes a transformation that initially had to be manually adapted. Automatic correlations that may go unnoticed, and there is also the ability to adapt and change over time. The paper contains detailed Business Intelligence complex analysis examples for the video player in social networks: YouTube, Facebook, Twitter, Instagram, etc. Data analysis by using a BI platform is useful when data sources are not directly correlated, allowing optimized visualization and identification of KPIs performance and metrics specifically defined for fast and efficient handling of data specific to mobile telecom operators and social networks or business networks. The analysis presented here could be easily expanded to any BI-based educational platform.

  • Issue Year: 15/2019
  • Issue No: 01
  • Page Range: 358-365
  • Page Count: 8
  • Language: English