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姓名 陳冠霖(Kuan-lin Chen) 查詢紙本館藏 畢業系所 資訊管理學系在職專班 論文名稱 組織商業智慧系統導入之研究-以A公司CIM部門為例 相關論文 檔案 [Endnote RIS 格式]
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至系統瀏覽論文 ( 永不開放)
摘要(中) 摘要
近年來全球化的趨勢之下企業之間競爭愈來愈激烈,組織如何比競爭者更快跟上環境快速的變化,成為維持生存獲利的要務。商業智慧 (Business Intelligence,BI)是利用企業日常經營過程中搜集的大量資料轉化為資訊、知識來避免瞎猜的行為和無知狀態,其分析、預測能力可以協助管理者快速、正確的制訂決策。個案公司多年來持續建廠及併購,成為國內TFT-LCD龍頭廠商之一,其快速成長與成功的背後如何面對複雜、不確定性的需求來導入生產資訊為主題的商業智慧系統,正是與本研究所欲探究的重點。因此本研究以個案研究的訪談、觀察等方式進行資料蒐集,了解A公司在快速成長的情況下,電腦整合部門導入商業智慧系統的過程,研究歸納出結論分成三個構面:
一、「導入面」:系統導入過程依個案公司快速擴張及營運模式的變化,不斷進行修正,逐步整合資料的廣度(資料來源及範圍擴大)、再到深度(資料時間拉長),過程中並獲得高層主管的支持,持續投入資源及協助減少各階層使用者對新系統的抗拒。
二、「系統面」:考量自有技術的掌握,及系統彈性、成本、維護…等各方面因素,個案部門透過系統顧問、團隊培養、外購元件等方式,獲得系統技術以達到系統完全自製的目標。
三、「成果面」:個案公司逐步從資料、資訊、知識到智慧來整合生產資訊,提供個案公司管理者進行決策的參考,並透過系統自製大幅降低系統開發、維護上的成本,並能隨時彈性因應企業需求調整以增加系統競爭力。
關鍵字:商業智慧
摘要(英) Abstract
In recent years, the competition between enterprises is fiercer under the trend globalized. So, how to keep up with the highly changeable environment before competitors is very important. Business Intelligence (BI) manages a large number of manufacturing data collected in the course to turn the behavior avoiding being guesstimated and ignorant state into information, knowledge, and intelligence. It provides predicting ability to help administrator’’s fast, correct formulation decision.
The case company has founded the factory and merged continuously for many years. It has become one of the domestic TFT-LCD leading manufacturers in Taiwan. How could the company face the complicated and uncertain user requirements then buildup business intelligence system successfully is focal point that just wants to probe into with this research institute.
The materials of this research is collected by interview, way of observing etc. Of case study, we understand how CIM department of A-Company buildup business intelligence system successfully in case of growing up fast. The conclusion of this study is summing-up to divide into three literary compositions:
1. System migration: In order to met the requirements that the change of case company’s fast expanding and operation way, BI system was revised constantly. Both scope and depth of manufacture material was integrated progressively. CIM department also obtained support of the senior level executive in the course and put into resources and help to reduce resisting to new system of user of different levels continuously.
2. System Development: Consider the mastering of own technology, systematic elasticity, cost, maintenance etc, case department trains through systematic advisor, created a technical team, purchased the key components etc. outside. They obtained the goal that systematic technology totally makes in order to reach the system by itself.
3. Achievement: Case Company integrated the information of manufacturing from data to information, knowledge and intelligence progressively. Offering the reference of decision
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to administrators. The in-house systems by a wide margin reducing system develop, maintain cost. Of course, the system can be modified at any time for enterprise’s requirement by increasing the systematic competitiveness elasticity.
Keywords: Business Intelligence.
關鍵字(中) ★ 商業智慧 關鍵字(英) ★ Business Intelligence. 論文目次 目錄
第一章 緒論 ............................................................................................................................ 1
1-1 研究背景及動機 ................................................................................................... 1
1-2 研究目的 ............................................................................................................... 2
1-3 研究架構 ............................................................................................................... 2
第二章 文獻探討 .................................................................................................................... 4
2-1 商業智慧 (Business Intelligence, BI) ..................................................................... 4
2-2 商業智慧系統架構 ............................................................................................... 6
2-2-1 資料倉儲 (Data Warehouse) .......................................................................... 8
2-2-2 線上分析處理 (On-Line Analytical Processing, OLAP) ............................... 11
2-2-3 資料採礦 (Data Mining) .............................................................................. 13
2-3 商業智慧系統效益 ............................................................................................. 14
第三章 研究方法 .................................................................................................................. 18
3-1 研究方法的選擇 ................................................................................................. 18
3-2 資料蒐集方式 ..................................................................................................... 18
3-1 資料分析方法 ..................................................................................................... 19
第四章 個案分析 .................................................................................................................. 20
4-1 個案公司背景 ..................................................................................................... 20
4-2 個案部門介紹 ..................................................................................................... 20
4-3 商業智慧系統需求 ............................................................................................. 21
4-4 商業智慧系統導入過程 ..................................................................................... 22
4-4-1 技術移轉階段(1996-2000) ...................................................................... 23
4-4-2 系統外購階段(2001-2003) ...................................................................... 24
4-4-3 系統自製階段(2004-2006) ...................................................................... 26
4-4-4 技術提升階段 (2006-2009) ......................................................................... 29
4-4-5 進階分析階段 (2009-迄今) ......................................................................... 31
4-5 小結 ..................................................................................................................... 34
第五章 結論與建議 .............................................................................................................. 37
5-1 研究結論 ............................................................................................................. 37
5-1-1 導入面 .......................................................................................................... 37
5-1-2 系統面 .......................................................................................................... 40
5-1-3 成果面 .......................................................................................................... 41
5-2 研究貢獻 ............................................................................................................. 42
5-3 研究限制 ............................................................................................................. 42
5-4 後續研究 ............................................................................................................. 43
參考文獻 ................................................................................................................................. 44
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圖目錄
圖 1:研究步驟 ........................................................................................................................ 3
圖 2:商業智慧系統架構 ........................................................................................................ 6
圖 3:個案公司商業智慧系統導入階段說明 ...................................................................... 23
圖 4:商業智慧系統導入過程 .............................................................................................. 37
圖 5:階段2之資料倉儲建構架構 ...................................................................................... 38
圖 6:階段3之資料倉儲建構架構 ...................................................................................... 39
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表目錄
表 1:商業智慧定義整理 ........................................................................................................ 5
表 2:資料倉儲與傳統資料庫的比較 .................................................................................. 10
表 3:資料採礦在各行各業的應用 ...................................................................................... 13
表 4:個案公司歷年擴張情況與CIM導入商業智慧進程 ................................................. 21
表 5:技術移轉階段,商業智慧導入過程重要事件整理 .................................................. 23
表 6:系統外購階段,商業智慧導入過程重要事件整理 .................................................. 24
表 7:系統自製階段,商業智慧導入過程重要事件整理 .................................................. 26
表 8:技術提升階段,商業智慧導入過程重要事件整理 .................................................. 29
表 9:進階分析階段,商業智慧導入過程重要事件整理 .................................................. 32
表 10:各階段對商業智慧支援能力的整理表列 ................................................................ 34
參考文獻 參考文獻
中文部份:
1. ARC 遠擎管理顧問公司(2002,4月),商業智慧經理人手冊,電子化企業經理人報告,第32 期,民國91 年4 月。
2. Michael J.A. Berry and Gordon Linoff(1991,6月). 資料挖掘理論與實務--顧客關係管理的技巧與科學(吳旭智、賴淑貞) 。台北市:維科圖書。
3. 王茁(2005),商業智慧,初版,博碩文化股份有限公司。
4. 朱剛正(2002),田口品質設計之資料倉儲的規劃與製作,私立元智大學工業工程與管理學系碩士論文。
5. 郭聰憲(2004),企業成功導入商業智慧之關鍵因素研究,國立中央大學碩士論文。
6. 洪銘憲(2009),資訊系統整合與高階主管領導風格對組織學習、IT 技術能力與組織績效影響的關聯性研究-以台灣高科技產業使用ERP 為基礎應用BI 與KM 為例,私立南台科技大學碩士論文。
7. 梁定澎(2002),商業智慧與決策支援系統,皆勝文化。
8. 蔡淑賢(2002),商業智慧(BI)讓企業變聰明了,商業現代化, 1-6 頁。
英文部份:
1. Codd, E.F., S.B. Codd, and C.T. Salley. (1993) , Providing OLAP (On-Line Analytical Processing) to User Analysts: An IT Mandate, White Paper, Arbor Software Corporation.
2. Geiger, J.G. (2002) , How data warehousing supports BI, Business Finance, Vol.8, Iss.3, Loveland, CO, USA, pp. 42.
3. Han, J. and M. Kamber (2001) , Data Mining: Concepts and Techniques, Morgan
Kaufmann.
4. Inmon, W.H. (1994) , What is a Data Warehouse?,
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http://cait.wustl.edu/cait/papers/prism/vol_nol.
5. Kimball, R. (1996) , The Data Warehouse Toolkits. John Wiley & Sons, New York.
6. Sharma, R. (2000, Feb) , Business intelligence: Clues from trends, Australian CPA, Melbourne, Australia.
7. Surajit Chaudhuri., and Umesh Dayal. (1997, MAR) ,An Overview of Data Warehousing and OLAP Techology, ACM SIGMOD Record 26 (1).
8. Moss, L.T., and Atre, S. (2003, May) , Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-Support Applications, Addison Wesley, Boston.
9. Mundy, J. (2006) , Thornthwaite, W. and Kimball, R., The Microsoft Data Warehouse Toolkit: With SQL Server 2005 and the Microsoft Business Intelligence Toolset, Wiley Publishing, Inc., Indianapolis, Indiana.
10. Yin, R. K. (1994) , Case Study Research: Design and Methods, Second Edition, Sage Publications.
11. Watson, H. and B. Wixom. (2007) , The current state of business intelligence. Computer. 40(9): pp. 96-99.
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