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| Databases and Data Warehouses: Building Business Intelligence CASE STUDY: DATA WAREHOUSING—PART OF THE INFORMATION LOOP AT SCOTIAMCLEOD 77 INTRODUCTION 78 BUSINESS INTELLIGENCE 78 THE RELATIONAL DATABASE MODEL 80 Collections of Information 80 Created with Logical Structures 80 With Logical Ties Among the Information 82 With Built-In Integrity Constraints 82 DATABASE MANAGEMENT SYSTEM TOOLS 83 TEAM WORK: Primary Keys, Foreign Keys, and Integrity Constraints 84 Data Definition Subsystem 85 Data Manipulation Subsystem 86 INDUSTRY PERSPECTIVE: Company Pushes to Put More Canadian Content on the Web 87 THE GLOBAL PERSPECTIVE: Floating Databases Aboard Royal Caribbean Cruise Ships 91 Application Generation Subsystem 91 ON YOUR OWN: DBMS Support for OLTP, OLAP, Information Management 92 Data Administration Subsystem 92 INDUSTRY PERSPECTIVE: Should You Have Access to Medical Malpractice Databases? 93 DATA WAREHOUSES AND DATA MINING 94 What Is a Data Warehouse? 94 What Are Data Mining Tools? 96 THE GLOBAL PERSPECTIVE: Cross-Selling Insurance Products in Australia 97 Data Marts—Smaller Data Warehouses 97 Important Considerations in Using a Data Warehouse 98 INDUSTRY PERSPECTIVE: Future Shop Implements Data Warehousing with the Help of Burntsand Inc. 99 TEAM WORK: How Up-to-Date Should Data Warehouse Information Be? 100 MANAGING THE INFORMATION RESOURCE IN AN ORGANIZATION 100 INDUSTRY PERSPECTIVE: Do You Want to Be a CIO? 101 Who Should Oversee the Organization’s Information? 101 ON YOUR OWN: CRUD—Defining Information Ownership 102 How Will Changes in Technology Affect Organizing and Managing Information? 102 INDUSTRY PERSPECTIVE: Do Movies Affect Your View of Ethics? 103 Is Information Ownership a Consideration? 103 What Are the Ethics Involved in Managing and Organizing Information? 103 CLOSING CASE STUDIES 105 REAL HOT ELECTRONIC COMMERCE: Searching Online Databases and Information Repositories 111 | ||