Spatio-Temporal Analysis of Fixed Broadband Customer Acquisition

被引:0
作者
Rosyidah, Asma [1 ]
Surjandari, Isti [1 ]
机构
[1] Univ Indonesia, Fac Engn, Ind Engn Dept, Depok, Indonesia
来源
2017 IEEE 8TH INTERNATIONAL CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY (ICAST) | 2017年
关键词
geographical information system; spatio-temporal analysis; space time cube; customer acquisition; TIME; STATISTICS; TREND;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As the need of people towards internet is increasing, fixed broadband market is growing. The growth of the market leads to bigger opportunity for provider in penetrating the market and gaining new customers. To penetrate the market, fixed broadband provider needs to make big investment in building and upgrading the network infrastructures as it offers more stability in service through the network configuration. Thus, it is important for fixed broadband provider to analyze its historical data to know which location it should choose and prioritize. Supporting the need of provider, this study was conducted to explore spatially the trends and emerging hot spots of customer acquisition through geographical information system based data of customer order. The research was conducted using spatio-temporal analysis on space time cube created from the data. The results show that the overall trend of number of customer acquisition is increasing and the emerging hot spots happen in the northern area of this study scoped region. The results of this research visualize the trends and emerging hot spots in the form of thematic map.
引用
收藏
页码:115 / 120
页数:6
相关论文
共 14 条
[1]  
[Anonymous], 2015, ICT Facts and Figures
[2]  
[Anonymous], 2016, ArcGis Desktop
[3]  
Asosiasi Penyelenggara Jasa Internet Indonesia, 2016, INF PEN PER PENGG IN
[4]   Interactive analysis of event data using space-time cube [J].
Gatalsky, P ;
Andrienko, N ;
Andrienko, G .
EIGHTH INTERNATIONAL CONFERENCE ON INFORMATION VISUALISATION, PROCEEDINGS, 2004, :145-152
[5]   THE ANALYSIS OF SPATIAL ASSOCIATION BY USE OF DISTANCE STATISTICS [J].
GETIS, A ;
ORD, JK .
GEOGRAPHICAL ANALYSIS, 1992, 24 (03) :189-206
[6]   Exact distribution of the Mann-Kendall trend test statistic for persistent data [J].
Hamed, K. H. .
JOURNAL OF HYDROLOGY, 2009, 365 (1-2) :86-94
[7]  
Kendall M., 1990, Correlation methods
[8]  
Law Michael Amy Collins., 2016, Getting to Know ArcGIS Pro
[9]   NONPARAMETRIC TESTS AGAINST TREND [J].
Mann, Henry B. .
ECONOMETRICA, 1945, 13 (03) :245-259
[10]   Effect of persistence on trend detection via regression [J].
Matalas, NC ;
Sankarasubramanian, A .
WATER RESOURCES RESEARCH, 2003, 39 (12) :SWC71-SWC77