People Innovation Excellence


Learning Outcomes:

On successful completion of this course, students 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.


  1. Modern Decision Support;
  2. Decision Support Concept; Recognizing Types of Decision Support; Using Big Data for Decision Support; Business Intelligence and Data-Driven DSS; Predictive Analytics and Model-Driven Decision Support; Decision Support Benefits and Trade-Offs; Identifying Decision Support Opportunities; Nature of Data, Statistical Modeling, and Visualization; Data Mining Process, Methods, and Algorithms; Text, Web, and Social Media Analytics; Optimization and Simulation; Future Trends, Privacy and Managerial Considerations in Analytics.

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