BAN_520_Syllabus.pdf - Bellevue University BAN 520...

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Bellevue University BAN 520 Enterprise Data and Information Management Prerequisites: Students enrolled in this class are expected to already have exposure to the fundamentals of information systems, personal or enterprise database management systems, systems analysis and design concepts and an ability to work at a professional level. Credit : 3 Credit Hours Catalog Description: This course offers an in-depth exploration of all the major topics in the field of data and information management from an applied perspective with an emphasis on data warehouses. The course is designed to provide not only a strong theoretical foundation, but also the technical skills required in analyzing, designing, implementing, managing, and utilizing information repositories. Topics covered include relational database model, data modeling, logical and physical database design, structured query language (SQL) implementation, procedures and triggers, data integration and quality, data warehouses and other relevant techniques for addressing big data issues in organizations today. The strategic roles that data and information play in business operations, customer relationship management, business decision- making, and strategy development are also discussed. Purpose: This is a required course for the Master of Science in Business Analytics program. Objectives: Students who successfully complete this course should be able to: 1. Differentiate between business intelligence, business analytics, and other technologies (knowledge management, data warehousing and data mining). 2. Recommend strategies for effective management of data and information in an enterprise organization. 3. Describe the life cycle of a systems development project, with an emphasis on the purpose of database analysis, design, and implementation activities. 4. Construct a database using Entity-Relationship diagrams, data flow diagrams, and logical and physical database designs. 5. Process a relational database using SQL. Topic Outline: I. Data and Information A. Data B. Information C. Sources D. Proprietary and Open Source E. Integrity II. Enterprise Information Needs A. Tactical B. Operational