This course provides a comprehensive introduction to Business Intelligence (BI) systems. It covers the principles and practices that organizations use to collect, manage, analyze, and visualize data for decision-making purposes. Additionally, the course explores emerging trends in BI, including the role of Generative AI in enhancing data-driven strategies.
Course Objectives — By the end of the course, students will:
Course Info
Evaluation categories | Weight (%) | Types |
---|---|---|
Process evaluation 1 | 10 | Process Exercise |
Process evaluation 2 | 20 | Essay |
Mid-term project | 20 | Presentation |
Final project | 50 | Report |
Group | Day [Period] | e-Learning | Room |
---|---|---|---|
N2 (TC) | Monday [2] | | | | B.405 |
N3 (CLC) | Monday [3] | | | | B.301 |
N1 (CLC-EN) | Tuesday [2] | | | | F.512 |
Weeks | Topics | Resources |
---|---|---|
1 |
Chapter 0: Course Introduction Chapter 1: Introduction to Business Intelligence — Read 0: Approaches for Conducting the Final Project Read 1: Sample Final Project Topic Read 2: KMS Use Case: Pharmaceutical Company |
ch00.pdf ch01.pdf — r00.pdf r01.pdf r02.pdf |
2 |
Chapter 1: Introduction to Business Intelligence (cont.) — Read 3: Starbucks' Use of BI to Optimize Menu and Store Locations Read 4: Leveraging GenAI for BI in E-Commerce Read 5: E-commerce Business Using Analytics to Enhance Customer Experience Read 6: Healthcare Provider Leveraging Analytics to Improve Patient Care |
ch01.pdf — r03.pdf r04.pdf r05.pdf r06.pdf |
3 |
Chapter 2: Descriptive Analytics (Part 1): Nature of Data, Statistical Modeling, and Visualization — Read 7: Retail Chain's Data Management Challenges Read 8: GIGO in Retail Demand Forecasting — Hands-on Practice: - (1) Taking Off with Tableau - (2) Connecting to Data in Tableau |
ch02.pdf — r07.pdf r08.pdf — hp01.pdf hp02.pdf hp-rs-01.zip hp-rs-02.zip superstore.zip |
4 |
Chapter 3: Decision Tree Learning — Part 1: Classification — Hands-on Practice: - (3) Moving Beyond Basic Visualizations - (4) Starting an Adventure with Calculations and Parameters — Read 9: Decision Tree Learning |
ch03.pdf — hp03.pdf hp04.pdf hp-rs-03.zip hp-rs-04.zip — r09.pdf |
5 |
Chapter 4: Data Visualization and Reporting — Hands-on Practice: - (5) Leveraging Level of Detail Calculations - (6) Diving Deep with Table Calculations |
ch04.pdf — hp05.pdf hp06.pdf hp-rs-05.zip hp-rs-06.zip |
6 |
Chapter 5: BI Tools and Technologies |
ch05.pdf |
7 |
Chapter 6: Advanced Analytics in BI Appendix B: Decision Tree Learning - Part 2: Regression — Read 10: Decision Tree Learning |
ch06.pdf apd-B.pdf — r10.pdf |
8 |
Chapter 7: Introduction to Big Data in BI — Hands-on Practice: - (7) Making Visualizations That Look Great and Work Well - (8) Telling a Data Story with Dashboards |
ch07.pdf — hp07.pdf hp08.pdf hp-rs-07.zip hp-rs-08.zip |
9 |
Chapter 8: Generative AI and its Role in BI Appendix C: Bayesian Learning — Read 11: Bayesian Learning — Self-study 1: Data Description and Visualization |
ch08.pdf apd-C.pdf — r11.pdf s01.pdf |
10 |
Chapter 9: Real-time BI and Emerging Trends — Read 12: Data Mining for Cross-Sectional Data |
ch09.pdf — r12.pdf |
11 |
Chapter 10: Ethical Considerations in BI Hands-on Practice: - (9) Visual Analytics - Trends, Clustering, Distributions, and Forecasting — Self-study 2: Data Mining for Temporal Data |
ch10.pdf — hp09.pdf s02.pdf |
12 |
Mid-term Report — Hands-on Practice: - (10) Advanced Visualizations - (11) Dynamic Dashboards — Self-study 3: Process Analysis |
hp10.pdf hp11.pdf s03.pdf |
13 |
Mid-term Report — Self-study 4: Analysis of Multiple Business Perspectives |
s04.pdf |
14 |
Final Project Report
— Self-study 5: A Survey of Business Intelligence Tools |
s05.pdf |
15 | Final Project Report | — |
Use your student email account to access the above resources. Abbreviations: ch
, hp
, hp-rs
, r
, and s
stand for lecture notes, hands-on practice tutorials, hands-on practice resources, reading materials, and self-study materials, respectively.