Introduction to Business Intelligence

ltao's picture

Introduction to Business Intelligence                                    4 credits
Prerequisite: Data Mining
Course Description:  BI value proposal. BI’s split personality: business and technology. Basic reporting and querying. Online analytical processing. Dashboards and briefing books. Human factors in BI implementation. Building a solid BI architecture and roadmap. Building the BI project plan. Collecting user requirements. BI design and development. Data warehouses, marts and stores. Data mining for more effective decision making.
Sample Textbook: “Decision Support and Business Intelligence Systems”, 9th Ed., Efraim Turban, Ramesh Sharda and Dursun Delen; Prentice Hall 2010, ISBN 978-0136107293      
Developer: Seidenberg
Resources: (1) IBM has agreed to provide its latest BI product Cognos through its academic cloud network so each Pace student or faculty could use a personal Cognos VM instance for course work; (2) IBM has agreed to deliver Cognos seminars to Pace faculty.