| 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 |
|  |
Add the result to your basket Refine your search Apply to external sources Make a suggestionSIU Thesis. Using data mining to segment metropolitan electricity authority customers / Sirirat Ngamsaneh / Bangkok : Shinawatra University - 2007
