This course covers theories and applications of business analytics. The focus is on extracting business intelligence from firms’ business data for various applications, including (but not limited to) customer segmentation, customer relationship management (CRM), personalization, online recommendation systems, web mining, and product assortment. The emphasis is placed on the ‘know-how’ — knowing how to extract and apply business analytics to improve business decision-making.
Turban, Efraim. Business Intelligence and Analytics: Systems for Decision Support. 10th ed. Boston: Pearson, 2015.
|Exams||A midterm and a final exam will consist of multiple choice, short answer questions, discussion questions, and questions. Exam items will be derived primarily from lectures and readings. Exams will be available through iLearn, but must be completed independently.||60%|
|Assignments, quizzes, and discussions||Assignments and quizzes will be given throughout the term and will have varying point values. Assignments will come from the CISSP study questions, discussion questions, and reviewing literature.||40%|
- Lectures 0
- Quizzes 0
- Duration 50 hours
- Skill level All levels
- Language English
- Students 16
- Assessments Yes