因應金融環境變遷與數位資訊流動頻繁的時代中，收集、管理和使用資訊的方式，決定了企業的競爭優勢。如何讓企業所有相關人員廣泛的分享與運用企業內的數位資訊，一面提升決策者的分析資源，另一方面創造企業整體的智慧，及提高企業整體的行動力，正是當下企業解決經營問題的重要關鍵，而作業資料儲存庫正是收集、分析及提供這些企業智慧的最佳基礎建設。
本研究以金融控股公司為例，探討企業在導入作業資料儲存庫過程中，所面臨的各項課題。文中首先收集國內外作業資料儲存庫相關的管理學術文獻，以及企業實際施行作業資料儲存庫的相關研究，並廣泛討論作業資料儲存庫的特質、目的及其對企業價值的貢獻；進而針對目前各作業資料儲存庫建置相關廠商，在企業導入作業資料儲存庫過程中，於軟硬體架構與專案流程控管的差異。最後，透過個案分析的方式，深入說明作業資料儲存庫導入過程中，各施行階段的管理與技術層面的設計。
本研究貢獻在於建立一個完整的作業資料儲存庫系統，雖然以金控公司為案例，但仍然可作為各型企業建置自己作業資料儲存庫的參考；本研究也可以提供想要導入作業資料儲存庫系統的業者一個初階的參考。而研究結果也發現，作業資料儲存庫能促使企業智慧品質的提升，帶來企業智慧流通方式的變革，並提供企業流程再造，及管理思維重新考量的一個重要契機。

To deal with the transition of the financial environment and in the flux of the digital information age, gathering, managing, and using information had a fatal impact on enterprise competitive ability. How to make all the related employees extensively sharing and utilizing the digital information among the enterprise, to strengthen the analysis ability of the policymaker and to create the integral enterprise intelligence, then to integrate their activities readily, are the key factors for solving the operation of the enterprise. The technology of Operation Data Stores (ODS) is the best infrastructure for collecting, analyzing and supplying the business intelligence for it.
This research is based on the financial holding company to explore the relative management issues of deploying operational data stores in enterprise. This research firstly collects relative scholar journals, articles and practical study on the operational data stores; widely studying its nature, purpose and value for the enterprise. Then, justifing the differences of the ODS architecture and the project management among the present venders deploying their technology for the enterprise. Finally, this research takes the case analyzing to reveal the management and the technical issue in each ODS implementation phase.
The contribution of this research is to build up a completed Operational Data Stores system. Even if it’s based on the financial holding company, it could be still the reference for every enterprise to build up it own ODS. Also, this research could supply the preliminary reference for the vender who wants to implement ODS. Furthermore, this research shows that the operational data stores can promote the quality of the enterprise intelligence, alter the flow of the enterprise intelligence; and supply the important moment for the business processing reengineering and the reconsideration for managing thought in the organization revolution.

[1] 吳佩芬，「企業應用系統整合—以金融控股公司為例」，大同大學，資訊工程研究所碩士論文，中華民國九十四年七月。
[2] 夏則智，「線上分析處理之彈性報表設計方法論」，中山大學，資訊管理學系研究所博士論文，中華民國九十三年一月。
[3] 鍾慶霖，「顧客關係管理系統建置之研究—以金融控股公司為例」，台灣大學，資訊管理研究所碩士論文，中華民國九十二年六月。
[4] 郭家瑋，「國內企業採行資料倉儲關鍵成功因素之研究」，淡江大學，資訊管理學系碩士論文，中華民國九十一年六月。
[5] 張志緯，「以 Business Dimensional Lifecycle 方法開發 Data Warehouse 系統之初探」，中央大學，資訊管理研究所碩士論文，中華民國九十年六月。
[6] 邱承凡，「資料倉儲實體化視域選取之研究─以資料方體之建置為例」，元智大學，資訊研究所資訊管理組碩士論文，中華民國八十九年六月。
[7] 謝松樺，「資料倉儲建構之管理課題-以電信業為例」，銘傳大學，　管理科學研究所碩士論文，中華民國八十八年六月。
[8] 詹俊裕，想活就得變！ 金控新世代如何因應金融變局，早安財經文化有限公司，中華民國九十二年四月。
[9] Mark A.Beyer, “Of Data Warehouse，Operational Data Stores，Data Marts and Data‘Outhouses’”, Gartner Research, Dec 2005.
[10] Tony M. Brown, “First Impression: DataMirror Introdices Dynamic ODS”, Business Integration, Jul 2005.
[11] Ross Altman, “Building an Operational Data Store on Top of Legacy Applications”, Business Integration, Jan 2005.
[12] Brad Skiles, “Manager Data/Database Administration”, International Oracle Users Group-Americas (IOUGA), May 2001.
[13] Ralph Kimball, “Relocating the ODS – Moving the Operational Data Store Will Solve a Number of Problems”, DBMS online, May 1997.
[14] W.H. Inmon, Building the Data Warehousing, 3rd Edition, John Wiley & Sons, Inc., 2002.
[15] W.H. Inmon, Building the Operational Data Store, 2nd Edition, John Wiley & Sons , Inc., 1999.
[16] W.H.Inmon, Claudia Imhoff, and Ryan Sousa, Corporate Information Factory, John Wiley & Sons , Inc., 1998.
[17] W.H.Inmon, John A. Zachman and Jonathan G. Geiger, Data Stores, Data Warehousing, and the Zachman Framework, The McGraw-Hill Companies, Inc., 1997.
[18] W.H.Inmon, J.D.Welch, and Katherine L. Glassey, Managing the Data Warehouse, John Wiley & Sons , Inc., 1997.