淺析數(shù)據(jù)倉庫在erp中的應(yīng)用.doc
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淺析數(shù)據(jù)倉庫在erp中的應(yīng)用,淺析數(shù)據(jù)倉庫在erp中的應(yīng)用本文共計(jì)10頁,10349字;摘要:按照數(shù)據(jù)處理的觀點(diǎn),傳統(tǒng)erp是聯(lián)機(jī)事物處理系統(tǒng)。由于現(xiàn)代先進(jìn)管理理念加強(qiáng)了人和企業(yè)文化的關(guān)注,將業(yè)務(wù)自身的決策權(quán)下放到對(duì)應(yīng)的作業(yè)層也就成為了趨勢(shì)。原來單純事物處理人員現(xiàn)在要做與他業(yè)務(wù)相關(guān)的決策。因而作業(yè)人員也要了解相關(guān)的綜合性的數(shù)據(jù)和信息。這些傳統(tǒng)erp...
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淺析數(shù)據(jù)倉庫在ERP中的應(yīng)用
本文共計(jì)10頁,10349字;
摘要:按照數(shù)據(jù)處理的觀點(diǎn),傳統(tǒng)ERP是聯(lián)機(jī)事物處理系統(tǒng)。由于現(xiàn)代先進(jìn)管理理念加強(qiáng)了人和企業(yè)文化的關(guān)注,將業(yè)務(wù)自身的決策權(quán)下放到對(duì)應(yīng)的作業(yè)層也就成為了趨勢(shì)。原來單純事物處理人員現(xiàn)在要做與他業(yè)務(wù)相關(guān)的決策。因而作業(yè)人員也要了解相關(guān)的綜合性的數(shù)據(jù)和信息。這些傳統(tǒng)ERP卻不能夠提供。于是產(chǎn)生了新一代事物處理和分析處理相結(jié)合的應(yīng)用軟件。隨著數(shù)據(jù)倉庫DW和聯(lián)機(jī)分析處理OLAP技術(shù)開始走向?qū)嵱?,ERP供應(yīng)商也開始了將DW/OLAP集成于一身的努力。于是ERP集成了兩種數(shù)據(jù)處理方法:傳統(tǒng)的聯(lián)機(jī)事物處理OLTP( On-line Transaction Processing )和新增的聯(lián)機(jī)分析處理OLAP( On-line Analytical Processing ),作業(yè)系統(tǒng)和業(yè)務(wù)智能分析也就聯(lián)結(jié)起來了。
Abstract: According to the standpoint that data handle, the traditional ERP is the On-line Transaction Processing system. Because modern forerunner the management principle strengthened the human and concern of corporate culture, laying the decision power of the business oneself to corresponding operators became the trend. The transaction Processing operators now have to do with the related decision of his business. As a result, operators should understand the related synthetic data and information. These above the traditional ERP can't provide enough. Hence the new production, a kind of applied software that combines transaction processing and analysis processing, appears. With the data warehouse (DW) and the On-line Analytical
關(guān)鍵字:ERP,商業(yè)智能,聯(lián)機(jī)事務(wù)處理,數(shù)據(jù)倉庫,聯(lián)機(jī)分析處理,數(shù)據(jù)挖掘
目錄:
1 傳統(tǒng)ERP的運(yùn)行機(jī)制
2 現(xiàn)代企業(yè)對(duì)新一代ERP的需求
2.1 需求
2.2 商務(wù)智能(BI)
3 新一代ERP及其所運(yùn)用的技術(shù)
3.1 數(shù)據(jù)倉庫
3.2 聯(lián)機(jī)分析處理
3.3 數(shù)據(jù)挖掘
4 BI的實(shí)施
5 綜述
主要參考文獻(xiàn):
《數(shù)據(jù)倉庫與數(shù)據(jù)挖掘技術(shù)》 陳京民等編著 電子工業(yè)出版社
本文共計(jì)10頁,10349字;
摘要:按照數(shù)據(jù)處理的觀點(diǎn),傳統(tǒng)ERP是聯(lián)機(jī)事物處理系統(tǒng)。由于現(xiàn)代先進(jìn)管理理念加強(qiáng)了人和企業(yè)文化的關(guān)注,將業(yè)務(wù)自身的決策權(quán)下放到對(duì)應(yīng)的作業(yè)層也就成為了趨勢(shì)。原來單純事物處理人員現(xiàn)在要做與他業(yè)務(wù)相關(guān)的決策。因而作業(yè)人員也要了解相關(guān)的綜合性的數(shù)據(jù)和信息。這些傳統(tǒng)ERP卻不能夠提供。于是產(chǎn)生了新一代事物處理和分析處理相結(jié)合的應(yīng)用軟件。隨著數(shù)據(jù)倉庫DW和聯(lián)機(jī)分析處理OLAP技術(shù)開始走向?qū)嵱?,ERP供應(yīng)商也開始了將DW/OLAP集成于一身的努力。于是ERP集成了兩種數(shù)據(jù)處理方法:傳統(tǒng)的聯(lián)機(jī)事物處理OLTP( On-line Transaction Processing )和新增的聯(lián)機(jī)分析處理OLAP( On-line Analytical Processing ),作業(yè)系統(tǒng)和業(yè)務(wù)智能分析也就聯(lián)結(jié)起來了。
Abstract: According to the standpoint that data handle, the traditional ERP is the On-line Transaction Processing system. Because modern forerunner the management principle strengthened the human and concern of corporate culture, laying the decision power of the business oneself to corresponding operators became the trend. The transaction Processing operators now have to do with the related decision of his business. As a result, operators should understand the related synthetic data and information. These above the traditional ERP can't provide enough. Hence the new production, a kind of applied software that combines transaction processing and analysis processing, appears. With the data warehouse (DW) and the On-line Analytical
關(guān)鍵字:ERP,商業(yè)智能,聯(lián)機(jī)事務(wù)處理,數(shù)據(jù)倉庫,聯(lián)機(jī)分析處理,數(shù)據(jù)挖掘
目錄:
1 傳統(tǒng)ERP的運(yùn)行機(jī)制
2 現(xiàn)代企業(yè)對(duì)新一代ERP的需求
2.1 需求
2.2 商務(wù)智能(BI)
3 新一代ERP及其所運(yùn)用的技術(shù)
3.1 數(shù)據(jù)倉庫
3.2 聯(lián)機(jī)分析處理
3.3 數(shù)據(jù)挖掘
4 BI的實(shí)施
5 綜述
主要參考文獻(xiàn):
《數(shù)據(jù)倉庫與數(shù)據(jù)挖掘技術(shù)》 陳京民等編著 電子工業(yè)出版社
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