People Innovation Excellence

BUSINESS INTELLIGENCE (4 Credits)

Learning Outcomes:

On successful completion of this course, student will be able to: explain the motivations, concepts, methods, and methodologies for decision support systems, business intelligence, and analytics; recognize the new technology trends as the enablers of the modern-day business analytics and intelligence for decision support; analyze how organizations employed business analytics and intelligence to make decisions or gain a competitive edge; identify Decision Support Opportunities that are supported by business analytics and intelligence.

Topics:

  1. Modern Decision Support
  2. Decision Support Concept
  3. Recognizing Types of Decision Support
  4. Using Big Data for Decision Support
  5. Business Intelligence and Data-Driven DSS
  6. Predictive Analytics and Model-Driven Decision Support
  7. Decision Support Benefits and Trade-Offs
  8. Identifying Decision Support Opportunities
  9. Nature of Data, Statistical Modeling, and Visualization
  10. Data Mining Process, Methods, and Algorithms
  11. Text, Web, and Social Media Analytics
  12. Optimization and Simulation
  13. Future Trends, Privacy and Managerial Considerations in Analytics
  14. Decision Support Concept
  15. Using Big Data for Decision Support
  16. Predictive Analytics and Model-Driven Decision Support
  17. Nature of Data, Statistical Modeling, and Visualization
  18. Data Mining Process, Methods, and Algorithms
  19. Optimization and Simulation

Published at : Updated

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