Collection Title:	SIU Thesis
Title :	Using data mining to segment metropolitan electricity authority customers : in Bangkok, Nonthaburi, and samut Prakan
Material Type:	printed text
Authors:	Sirirat Ngamsaneh, Author ; Chuvej Chansa-ngavej, Associated Name ; Pacapol Anurit, Associated Name
Publisher:	Bangkok : Shinawatra University
Publication Date:	2007
Pagination:	viii, 112 p. charts, tables
Size:	30 cm.
Price:	500 Baht
General note:	Research study. (M.S (Master of Science in Management)).-- Shinawatra University.
Languages :	English (eng)
Descriptors:	[LCSH]Customer satisfaction [LCSH]Data mining [LCSH]Forecasting -- Statistical methods
Keywords:	Customer segmentation. Data Mining. Alyulda forecaster XL. Metropolitan Electricity Authority
Class number:	SIU RS SOM-MSM-2007-01
Abstract:	One of principle of a sustainable organization is t convert customers's satisfaction to profitability. However, markets are not homogeneous and customers vary in different dimensions: organizations need to identify market segments where they are able to serve each segment effectively. The metropolitan electricity authority (MEA) wishes to improve its marketing practices. Data mining is seen as an intelligent tool that can help accumulate and process data for better business outputs. In this research, initial finding cab be derived from in-depth interviews. Afterward Alyulda forecaster XL, an intelligence data mining application is utilized to analyze secondary data of MEA's cutomers by Neural Network method, which trained data before forecast customer segments, finally, finding from primary (interviews) and secondary (MEA customer data base and data mining analysis) researches will be triangulated and final recommendations and suggestions will be given accordingly
Curricular :	MSM
Record link:	http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=13426

SIU Thesis. Using data mining to segment metropolitan electricity authority customers : in Bangkok, Nonthaburi, and samut Prakan [printed text] / Sirirat Ngamsaneh, Author ; Chuvej Chansa-ngavej, Associated Name ; Pacapol Anurit, Associated Name . - Bangkok : Shinawatra University, 2007 . - viii, 112 p. charts, tables ; 30 cm.
500 Baht
Research study. (M.S (Master of Science in Management)).-- Shinawatra University.
Languages : English (eng)

Descriptors:	[LCSH]Customer satisfaction [LCSH]Data mining [LCSH]Forecasting -- Statistical methods
Keywords:	Customer segmentation. Data Mining. Alyulda forecaster XL. Metropolitan Electricity Authority
Class number:	SIU RS SOM-MSM-2007-01
Abstract:	One of principle of a sustainable organization is t convert customers's satisfaction to profitability. However, markets are not homogeneous and customers vary in different dimensions: organizations need to identify market segments where they are able to serve each segment effectively. The metropolitan electricity authority (MEA) wishes to improve its marketing practices. Data mining is seen as an intelligent tool that can help accumulate and process data for better business outputs. In this research, initial finding cab be derived from in-depth interviews. Afterward Alyulda forecaster XL, an intelligence data mining application is utilized to analyze secondary data of MEA's cutomers by Neural Network method, which trained data before forecast customer segments, finally, finding from primary (interviews) and secondary (MEA customer data base and data mining analysis) researches will be triangulated and final recommendations and suggestions will be given accordingly
Curricular :	MSM
Record link:	http://libsearch.siu.ac.th/siu/opac_css/index.php?lvl=notice_display&id=13426