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顧客叢聚分析於合約書資料之研究-防火門公司實例探討 = A Resear...

國立高雄大學資訊管理學系碩士班

顧客叢聚分析於合約書資料之研究-防火門公司實例探討 = A Research of Customer Clustering Analysis based on Business Contract-An Empirical Study of A Fire Safety Door Company

紀錄類型:	書目-語言資料,印刷品 : 單行本
並列題名:	A Research of Customer Clustering Analysis based on Business Contract-An Empirical Study of A Fire Safety Door Company
作者:	盧致任,
其他團體作者:	國立高雄大學
出版地:	[高雄市]
出版者:	撰者;
出版年:	民102[2013]
面頁冊數:	64面圖，表格 : 30公分;
標題:	防火門
標題:	Fire Safety Door
電子資源:	http://handle.ncl.edu.tw/11296/ndltd/52655675055954550152
附註:	105年3月31日公開
附註:	參考書目：面61-64
摘要註:	隨著建築產業的蓬勃發展，造成防火門產業市場之間的白熱化，而出現競爭強奪市場的狀況，形成了由過去的產品主導顧客需求而轉變為顧客主導產品的發展，顧客變成了重要的關鍵，誰能快速即時滿足顧客需求，誰就能立足於市場。因此，本研究利用資料探勘技術及叢聚分析技術，經由合約書資料中萃取出價值顧客資訊，提供防火門業者鞏固客戶及發展行銷決策之參考，並以南部防火門廠商為個案研究對象，藉由資料探勘技術，利用合約書去進行研究，以叢聚分析來探討顧客關係管理之關連，應用J-Express提供之叢聚分析工具，將合約書內容作叢聚分析，並加以解釋並提出看法與建議。由本研究研究分析得知該公司的客戶群集中在南部區域，客戶分層過於集中，這對公司而言經營風險略大，然而分析結果顯示小型叢聚分群雖然數量少，但單價高平均利潤是可觀的。中型叢聚分群為待加強顧客銷售、行銷的區塊。大型叢聚分群顧客為公司維持營運正常運轉的基礎及利潤的來源，僅希望經營者能藉由本研究結果做為策略修改行銷的參考依據，是為本研究分析最終目標。 It causes superheat of competition between fire safety door companies with the quick development of construction industry, Under this situation it changes the market from product oriented to customer. Therefore, customers become an important key. As long as who can meet the needs of customers rapidly, they will be more competitive. For that reason, we use data mining and clustering analysis techniques to extract valuable customer data from business contract company which provides references for marketing decision marking to keep customers. This research takes a fire safety door in southern Taiwan as the target. By using data mining technique, the connection of customer relationship management and clustering analysis will be discussed. In this research, we applies the clustering analysis tools which are offered by J-Express. From the analysis results, we can therefore realize the customers are aggregated in southern Taiwan. It is a little bit risky for running the company, however, the consequences of analysis show that even the amount of small cluster is few, the high average profit is worth to considered. In terms of medium cluster, the company should improve and provide better sales and marketing strategy for such cluster. As for big cluster, customers are the basic and profitable sources that can keep running the company smoothly. From this research, we do hope the findings can be applied to the fire safety company to help the decision marking of marketing strategy as well as customer relation management.

顧客叢聚分析於合約書資料之研究-防火門公司實例探討 = A Research of Customer Clustering Analysis based on Business Contract-An Empirical Study of A Fire Safety Door Company
盧, 致任

顧客叢聚分析於合約書資料之研究-防火門公司實例探討 = A Research of Customer Clustering Analysis based on Business Contract-An Empirical Study of A Fire Safety Door Company / 盧致任撰 - [高雄市] : 撰者, 民102[2013]. - 64面 ; 圖，表格 ; 30公分.
105年3月31日公開參考書目：面61-64.
防火門Fire Safety Door

顧客叢聚分析於合約書資料之研究-防火門公司實例探討 = A Research of Customer Clustering Analysis based on Business Contract-An Empirical Study of A Fire Safety Door Company
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330 $a 隨著建築產業的蓬勃發展，造成防火門產業市場之間的白熱化，而出現競爭強奪市場的狀況，形成了由過去的產品主導顧客需求而轉變為顧客主導產品的發展，顧客變成了重要的關鍵，誰能快速即時滿足顧客需求，誰就能立足於市場。因此，本研究利用資料探勘技術及叢聚分析技術，經由合約書資料中萃取出價值顧客資訊，提供防火門業者鞏固客戶及發展行銷決策之參考，並以南部防火門廠商為個案研究對象，藉由資料探勘技術，利用合約書去進行研究，以叢聚分析來探討顧客關係管理之關連，應用J-Express提供之叢聚分析工具，將合約書內容作叢聚分析，並加以解釋並提出看法與建議。由本研究研究分析得知該公司的客戶群集中在南部區域，客戶分層過於集中，這對公司而言經營風險略大，然而分析結果顯示小型叢聚分群雖然數量少，但單價高平均利潤是可觀的。中型叢聚分群為待加強顧客銷售、行銷的區塊。大型叢聚分群顧客為公司維持營運正常運轉的基礎及利潤的來源，僅希望經營者能藉由本研究結果做為策略修改行銷的參考依據，是為本研究分析最終目標。 It causes superheat of competition between fire safety door companies with the quick development of construction industry, Under this situation it changes the market from product oriented to customer. Therefore, customers become an important key. As long as who can meet the needs of customers rapidly, they will be more competitive. For that reason, we use data mining and clustering analysis techniques to extract valuable customer data from business contract company which provides references for marketing decision marking to keep customers. This research takes a fire safety door in southern Taiwan as the target. By using data mining technique, the connection of customer relationship management and clustering analysis will be discussed. In this research, we applies the clustering analysis tools which are offered by J-Express. From the analysis results, we can therefore realize the customers are aggregated in southern Taiwan. It is a little bit risky for running the company, however, the consequences of analysis show that even the amount of small cluster is few, the high average profit is worth to considered. In terms of medium cluster, the company should improve and provide better sales and marketing strategy for such cluster. As for big cluster, customers are the basic and profitable sources that can keep running the company smoothly. From this research, we do hope the findings can be applied to the fire safety company to help the decision marking of marketing strategy as well as customer relation management.
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