Business Intelligence at Canadian Tire University of MissouriSt 商业智能在加大密苏里堪萨斯大学圣.docVIP

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Business Intelligence at Canadian Tire University of MissouriSt 商业智能在加大密苏里堪萨斯大学圣.doc

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Business Intelligence at Canadian Tire University of MissouriSt 商业智能在加大密苏里堪萨斯大学圣

BUSINESS INTELLIGENCE IS 6800: Fall 2004 Dr. Lacity Supporn Jantastoo Richard Vaughn BUSINESS INTELLIGENCE 1 Executive Summary 5 Why Business Intelligence Will Make You A Better Manager 5 The Business Intelligence Market is Growing 5 The Promise and Potential of Business Intelligence 5 DANGER! Business Intelligence Hurdles Can Block the Path to Profit 6 Why Listen to Us? 6 And Finally 6 Introduction 7 Case Studies of Business Intelligence 12 Business Intelligence at SSM Health Care: How to Save Lives AND Win a National Quality Award 12 US Health Care System 12 SSM Health Care 13 Business Intelligence Strategy at Canadian Tire Company 17 Canadian Tire Background 17 CTC Business lines 17 Canadian Tire Financial Performance in 2003 18 The New Information Technology Strategy for 2003 to 2005 18 Business Intelligence at Canadian Tire: Chaos at the start 19 Figure: the Current BI Environment 20 Figure: Future BI environment 21 BI environmental assessment and BI program goals 21 Quick Win Projects 22 Conclusion 22 Lessons learned from SSM 22 Lessons learned from Canadian Tire Company 22 Table 1: perceptions of critical success factors to client/server 23 Business Intelligence Conclusion 23 BI Implementation- success factors 23 Appendix A: SSMHC Organization Chart 26 Appendix B: CTC Organization Chart 26 Glossary 28 REFERENCES 29 Executive Summary Business intelligence (BI) has various definitions depending on the speaker and audience. Loosely defined, BI refers to a management process whereby a company can more efficiently execute its business strategies and track its improvement processes. BI has been referred to as an ‘attitude’ that involves: 1. Understanding the strategic value of data captured from transactions across the enterprise, 2. The organization, standardization and transformation of that data into information and 3. The central storage, analysis and presentation of that data to decision makers ‘at the speed of thought’. 4. Allowing decision makers to a