| 研究生: |
郭聰憲 Tsung-Hsien Kuo |
|---|---|
| 論文名稱: |
企業成功導入商業智慧之關鍵因素研究 The Research of Key Factors About Successfully Implement Business Intelligence System in Enterprise |
| 指導教授: |
范懿文
Yi-Wen Fan |
| 口試委員: | |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 資訊管理學系在職專班 Executive Master of Information Management |
| 畢業學年度: | 93 |
| 語文別: | 中文 |
| 論文頁數: | 68 |
| 中文關鍵詞: | 商業智慧 、企業智能 |
| 外文關鍵詞: | Business Intelligence, BI |
| 相關次數: | 點閱:6 下載:0 |
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| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
一般企業經營者最關心的兩件事,莫過於提高營收和降低成本。過去,受限於時間的壓力,管理者制定決策時,經常是依據經驗做直覺式的判斷,這樣的決策往往帶著「冒險」的成分。但是,面對詭譎多變的商場競爭企業若希冀創造盈餘與高獲利,就必須從被動的回應客戶需求,轉變成主動的預測和管理客戶需求;若是希望能有效的降低成本,則需要先了解單項成本發生細項,並預測縮減成本可能對各部門造成的衝擊。而商業智慧(Business Intelligence,BI)的分析與預測能力,正是協助管理者迅速制定正確決策的基礎與最佳後援。
關於商業智慧(Business Intelligence,BI)的討論不勝枚舉,但是真正導入上線而且真的有實際應用在日常決策中的,少之又少。這其中的原因到底在哪?是高階主管技術修養不夠?產品不成熟?還是IT人員的技術背景不夠強壯?本研究將有兩家導入商業智慧系統產品的個案公司做相關的探討。
本研究欲探討個案公司導入商業智慧系統的過程以及成功或失敗之因素,因為所要探討的問題無法用統計來分析,故本研究是採描述性個案研究法,希望藉由實務上所發生的複雜現象予以完整的描述並與專案負責人詳談,以釐清商業智慧系統「為何會」及「如何」導入成功或失敗。
根據前述的研究目的,歸納出成功導入商業智慧系統的關鍵因素:
一、企業採用商業智慧的決定因素為,亟思如何迅速且正確的做出決策,能從大批資料中,挖掘出有用的資訊,加以運用在重要的決策上。
二、企業採用商業智慧的考慮因素為:整合性與市場評價,軟體大廠或是市佔率第一的廠商較易受青睞。
三、企業本身的IT素養均有一定水準,但是對軟體的掌握度將是一關鍵因素。
四、企業導入商業智慧的提倡者是大多是IT部門主管,但是最高主管如果對商業智慧有一定的了解,將使商業智慧更易導入成功。
What business manager most concern is raise the revenue and cost down.In the past,due to the pressure of time,manager need to make the decisions according to experience and first image.Those quality of decision take risk.
But,because of the competition in the business environment,if coporation want to raise the revenue and high-profit,they need to take the change from receive the customers'' requests passively to aggresively forcast and arrange customers''need.If corporations want to cost-down effectively,they must understand more detail and the impact of cost-down to every departments.The ability of analyze and forecast of BI(Business Intelligence) is the fast and best choice to helpmanagers make correct decisions raipdly.There were many discussions about BI,but less of them successfully implement and use it.Why?Because high-level managers'' IT capacity?or IT members''s technical background?This research will compare to two coporations which implement BI.This research want to discuss the factors of implement BI successfully or failed.This research took "Case-Study" as theresearch methodology.The research hope can chat with project managers about the whole BI implementation project,to distinquish"why" and "how" to implement BI successfully and failed.
The research has summed up couple key factors:
1.The reasons of coporations choose to implement BI is, urgent to find out how to rapidly and correctly make decisions through lot of information.
2.Coporations care about integration and evaluation of market when they start to survey BI vendors.
3.The IT capacity of coporations is a key factor to effect the ratio of successfully implement BI.
4.The advocator of BI implementation under coporation is IT manager.If the most high-level manager,eg:CEO,can understand the importance of BI project,it will improve the ratio of successfully implement BI.
5.The most mature product of BI is Client PC Tools,it will not cost too much.
6."People" is the most important questions about implement BI project.No matter implementation consultant of IT memebers.
7.If coporation can resolve the "People" question,the ratio of successfully implement BI will improve.
8.It''s hard to evaluate the performance of BI implementation.We can understand the performance through end-user''s point of view and usage of BI.
If the coporations can understand and resolve those factors the research listed,the successfully implementation BI is not just a dream.I do hope this thesis can help those coporations having interesting in BI can implement BI successfully and enjoy the success.
中文部分
1. 中正大學教育研究所主編,質的研究方法。高雄市: 麗文文化,民國89年,頁240。
2. 王文科,教育研究法。臺北市 : 五南,民國88年,五版,頁391。
3. 王茁.台灣睿智資訊 顧問群著.謝禮宗編校,商業智慧—企業決勝策略.技術與應用實務 Business Intelligence for the Enterprise
4. 王清弘,企業建立平衡計分卡之研究,國立政治大學資訊管理學系碩士論文,民國89年。
5. 朱剛正,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,民國91年。
6. 朱道凱譯,Kaplan Robert & Norton David 著,平衡計分卡-資訊時代的策略管理工具,臉譜出版,民國92年。
7. 吳安妮,“平衡計分卡轉換策略為行動(上)”,會計研究月刊,第134 期,民國86年 1 月。
8. 吳安妮,“平衡計分卡轉換策略為行動(中)”,會計研究月刊,第135 期,民國86年 2 月。
9. 吳安妮,“平衡計分卡轉換策略為行動(下)”,會計研究月刊,第136 期,民國86年3月。
10. 吳妹蒨,電子化企業經理報告,第32期,2002年4月,P8頁。商業智慧的應用面向與成功導入關鍵要素/ARC遠擎管理顧間公司資訊研究員
11. 杜榮瑞,“以平衡計分卡之觀點談會計教育及其改革”,會計研究月刊,民國89 年10 月,第179 期,頁12-13。
12. 林重新,教育研究法。臺北市 : 揚智文化,初版,民國90年,頁428。
13. 周淑娟,以ARIS 為基礎的平衡計分卡系統,私立輔仁大學資訊管理學系碩士論文,民國91年。
14. 邱德生,建構設備管理資訊系統資料倉儲之研究,國立台北科技大學生產系統工程與管理研究所碩士論文,民國92年。
15. 周天賜,文獻探討。錄於黃光雄和簡茂發主編 教育研究法,頁57-82。台北市:師大書苑,民國84年。
16. 周齊武、吳安妮、Kamal Haddad、施能錠等,“探索實施平衡計分卡可能遭遇的問題”,會計研究月刊,第183 期,民國89年 2 月。
17. 梁定澎編著,商業智慧與決策支援系統,皆勝文化,民91年。
18. 陳怡文,醫院策略聯盟主管資訊系統之建構,台北醫學院醫學資訊研究所碩士論文,民國91年。
19. 黃怡傑、趙僑、林宜萱等譯,Bernard Liautaud著,智慧報酬率:化資訊為知識,化智慧為利潤,台北:麥格羅希爾,民國91年。
20. 黃俊英,企業研究方法,初版,台北,東華,民國83 年。
21. 葉重新,教育研究法初版。台北市:心理,民國90年,頁196-197。
22. 游濬遠,異質性分析在商業智慧之應用--以流通業及製造業為例,國立台北科技大學商業自動化與管理研究所碩士論文,民國92年。
23. 電子化企業經理人報告,”商業智慧經理人手冊”,ARC 遠擎管理顧問公司,第32 期,民國91 年4 月。
24. 齊思賢譯,Lester C. Thurow著,知識經濟時代,時報文化,民國89年。
25. 賴威齊,以平衡計分卡為基礎建構網際網路環境下之醫院高階主管資訊系統及其實證研究,國立清華大學工業工程與工程管理學系碩士論文,民國92年。
26. 鍾雯玫,以支援平衡計分卡為決策基礎之資料倉儲建置,國立台灣科技大學工業管理系碩士論文,民國92年。
27. 蘇堤,”資料倉儲的應用與技術”,資訊與電腦,民國87年2月,頁78-91。
28. 欒斌,商業智慧的三大手法,經濟部商業現代化雙月刊,34-38 頁 , 民國91年2月。
英文部分
1.Berry, M. J. A. & Linoff, G., “Data Mining Technique for Marketing, Sale, and Customer Support,” Wiley Computer, 1997.
2.Business Intelligence Roadmap,The Complete Project Lifecycle for Decision-Support Applications,Larissa T.Moss,Shaku Atre,Foreword by Edward Yourdon
3. Carol, H.,”All aboard the BI bandwagon , “CIO. Framingham: Jul 15, 1998. Vol. 11, Iss. 19; p.16。
4. Chen, M.S., Han, J. & Yu, P.S., “Data Mining: An Overview from a DatabasePerspective,” IEEE Transactions on Knowledge and Data Engineering, Vol.8, 1996, pp.866-883.
5. Chow, W.C. & Haddad M., “Applying the balance scorecard to small companies”, Management Accounting, August 1997, pp.21-27。
6. Clarke, P., “The Balance Scorecard,” Countancy, Ireland, Vol. 29, No.3, pp.25-26, 1997.
7. Codd, E.F., S.B. Codd, and C.T. Salley, “Providing OLAP (On-Line Analytical Processing) to User Analysts: An IT Mandate,” White Paper, Arbor Software Corporation, 1993.
8. Domowitz, Ian.,”Electronic derivatives exchanges: Implicit mergers, network externalities, and standardization,” Quarterly Review of Economics and Finance. Champaign: Summer 1995. Vol. 35, Iss. 2; pp. 163-175。
9. Duhon, B.,”Business intelligence , “AIIM E - Doc Magazine. Silver Spring: Sep/Oct 2002. Vol. 16, Iss. 5; pp. 12 -13 。
10. Fayyad, U., Piatetsky-Shapiro, G. and Smyth, P., “The KDD Process for Extracting Useful Knowledge from Volumes of Data,” Communications of the ACM, Vol.39, November 1996, pp. 27-34.
11. Fitzgerald, B., Using BI tools to turn information into action, Financial Executive. Morristown: Mar/Apr 2003. Vol. 19, Iss. 2; pp. 46-47。
12. Gary, A.G. Jeff and D. Roger, “Who needs performance management, “Management Accounting, Vol. 74, No. 11, pp.20-25, 1996.
13. Geiger, J. G.,” How data warehousing supports BI, “Business Finance. Loveland: Mar 2002. Vol. 8, Iss. 3; p. 42。
14. Geishecker, L. & Zrimsek, B.,Use CPM to Integrate the Enterprise View , Letter From the Editor Gartner Research Note,18 July 2002。
15. Harding, W., “BI crucial to making the right decision,” Financial Executive; Mar/Apr 2003; 19, 2; ABI/INFORM Global p. 49。
16. Huber, G. P., “A Theory of The Effects of Advanced Information Technologieson Organization Design, Intelligence and Design Making,” Academy of Management Revies , Vol. 15, No.1, 1990, pp. 47-41.
17. Kaplan, R. S. & Norton, D. P.,”The Balanced Scorecard - Measures That Drive Performance,”. Harvard Business Review. Boston: Jan/Feb 1992. Vol. 70, Iss. 1; pp. 71-79。
18. Kaplan, R. S. & Norton, D. P.,”Putting the balanced scorecard to work,” Harvard Business Review. Boston: Sep/Oct 1993. Vol. 71, Iss. 5; pp. 134-142。
19. Kaplan, R. S. & Norton, D. P.,”Using the balanced scorecard as a strategic management system,” Harvard Business Review. Boston: Jan/Feb 1996. Vol. 74, Iss. 1; pp. 75-85。
20. Kaplan, R. S. & Norton, D. P., “Having trouble with your strategy? Then map it,”Harvard Business Review (September/October): 2000, PP167-176。
21. Kaplan, R. S. & Norton, D. P.,”The Strategy-focused Organization,” Harvard Business School Press, 2001.
22. Kempf ,T.,” Business-Intelligence Apps: Companies want them, but are emerging integrators prepared to deliver? “ VARbusiness. Manhasset: Jun 11, 2001. , Iss. 1712; p. 74。
23. Kendler, P. B.,”Information you can act on,” Insurance & Technology. New York: Jan 2003. Vol. 28, Iss. 1; p. 41 (2 pages)
24. Paladino, B., “How to conduct a balanced scorecard review to create strategic alignment,” Balanced Scorecard, Volume 2-6, December 2000.
25. P. C. Smith & M Goddard,”Performance management and operational research: A marriage made in heaven?” The Journal of the Operational Research Society. Oxford: Mar 2002. Vol. 53, Iss. 3; p. 247。
26. Rheem , Helen,”Performance management: A progress report,” Harvard Business Review. Boston: May 1995. Vol. 73, Iss. 3; pp. 11-12。
27. Rochester, Jack B,“Using Information Systems for Business and Competitor Intelligence ,”. I/S Analyzer. Bethesda: May 1990. Vol. 28, Iss. 5; p.1。
28. Rose, R.,”The BI effect: It''s not a luxury, it''s a survival skill,” Computing Canada. Willowdale: Feb 5, 1999. Vol. 25, Iss. 5; p. 21。
29. Sharma, R.,” Business intelligence: Clues from trends ,” Australian CPA. Melbourne: Feb 2000. Vol. 70, Iss. 1; pp. 22-23。
30. Srivaseava, J., “Warehouse Creation-A Potential Roadblock to Data Warehousing,” IEEE Transactions on Knowledge and Data Engineering, Vol. 11, 1998.
31. Sulzer-Azaroff, Beth, Pollack, Martin J, Fleming, Richard K. ,”Organizational behavior management within structural and cultural constraints: An example from the human service sector,” Journal of Organizational Behavior Management. New York: 1992. Vol. 12, Iss. 2; pp.117-137。
32. Yin, R. K., Case Study Research: Design and Methods, Second Edition, Sage Publications,1994.
33. Umar, A., “Application (Re)Engineering:Building Web-based Applications and Dealing with Legacies,” Prentice-Hall, 1997.
34. Vassiliadis, P., & Sellis, T., “A Survey of Logical Models for OLAP Databases,” SIGMOD Record, vol. 28, no. 4, pp. 64-69, 1999