BUSINESS INTELLIGENCE
AND DECISION SUPPORT SYSTEM
Lecturer: MSc. Thien Le
Business Intelligence and Decision Support System
Lecturers
Full Name: MSc. Thien Le (Lê Bá Thiền)
Email: thienlb.ktl@uel.edu.vn
Education:
- Bachelor of Economics at UEL (Valedictorian)
- Master of Science at UIT (Valedictorian)
Work Experience:
- Data Engineer at Prudential Vietnam
- Former Data Engineer/Data Analyst at NashTech Vietnam
- Former Fullstack Developer at iFactory Startup
Research Topic: Data, BI, Digital Transfromation, Cloud, ML, IoT …
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Business Intelligence and Decision Support System:
Introduction to course
Thien Le, MSc.
thienlb.ktl@uel.edu.vn
Business Intelligence and Decision Support System
BUSINESS INTELLIGENCE AND DECISION SUPPORT SYSTEM
Business Intelligence (BI)
Business intelligence comprises the strategies and technologies used by
enterprises for the data analysis of business information. BI technologies
provide historical, current, and predictive views of business operations
Image: https://blog.trginternational.com/vi/huong-dan-cho-ceo-ve-business-intelligence-2
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Business Intelligence and Decision Support System
BUSINESS INTELLIGENCE AND DECISION SUPPORT SYSTEM
Why BI?
Source: https://www.business2community.com/business-intelligence/business-intelligence-helps-understand-consumer-0770764
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Business Intelligence and Decision Support System
BUSINESS INTELLIGENCE AND DECISION SUPPORT SYSTEM
Decision Support System (DSS)
A decision support system is a computerized program used to support determinations,
judgments, and courses of action in an organization or a business
Source: https://uniti.tinnitusresearch.net/index.php/uniti/decision-support-system-dss
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Business Intelligence and Decision Support System
COURSE OBJECTIVES
After completing the course, paticipants can:
➢ Explain the role of data analysis in the business of the business in
each management level.
➢ Describe an overview of data analysis solutions and have the ability
to identify problems in business and management based on data.
➢ Establishing assumptions and using tools to survey, collect,
manage and analyze data to create meaningful information and
knowledge.
➢ Ability to propose and build BI solutions for data analysis in
enterprises based on survey results and evaluate factors related to
solutions from enterprise information technology resources.
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Business Intelligence and Decision Support System
COURSE OBJECTIVES (cont.)
After completing the course, paticipants can:
➢ Ability to install and use tools to build data analytics solutions, and
information management, testing and control data quality.
➢ Ability to think independently and critically and effective teamwork.
➢ Present problems by writing reports, using effective report layout
and presentation techniques.
➢ Responsible and positive at work.
➢ Have a professional ethic.
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Business Intelligence and Decision Support System
COURSE OUTLINE
01
02
03
04
05
An Overview of Business Intelligence, Analytics, and Data
Science
Descriptive Analytics I: Nature of Data, Statistical Modeling,
and Visualization
Descriptive Analytics II: Business Intelligence and Data
Warehousing
Big Data Concepts and Tools
Future Trends, Privacy and Managerial Considerations in
Analytics
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Business Intelligence and Decision Support System
STUDY MATERIALS
➢ Webs:
▪ https://powerbi.microsoft.com/en-us/
▪ https://www.tableau.com/
➢ Books:
▪ [Textbook] Sharda, Ramesh, Dursun Delen, and Efraim Turban. Business
intelligence, analytics, and data science: a managerial perspective – 4th
Edition. Pearson, 2016.
▪ [Referalbook] Hồ Trung Thành et al., Data warehouse analysis in business
analytics, Vietnam National University - Ho Chi Minh City Publisher, 2016.
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Business Intelligence and Decision Support System
STUDY MATERIALS
➢ Softwares:
▪ Microsoft Power BI Desktop (Student Edition)
▪ Tableau Desktop (Student Edition)
▪ SQL Server Data Tools
▪ Tableau Prep (Student Edition)
▪ SQL Server
▪ Excel
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Business Intelligence and Decision Support System
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ASSESSMENT
➢ Final: 50% (Project-based) **
➢ Midterm: 20% (Present the topic) **
➢ Process Review:
▪ E-learning Discussion: 10% *
▪ Quiz Test: 10% *
▪ Lab Test: 10% *
➢ Extra: Add to the process score, depending on the content of the lesson that the
student can solve. *
* Individual
** Group: A group has 3 or 4 members. Group assessments will accounted for 80% and
remaining 20% will be individual score based on question and answer session.
Business Intelligence and Decision Support System
DETAIL CONTENT
Session
Content
1–4
Basic theory, Concept
5–8
ETL and build Data Warehouse with SSIS – Related theory
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Build Cube SSAS and deploy – Related theory
10 – 11
Data Visualization with Power BI – Related theory
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Final Project
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Business Intelligence and Decision Support System
GROUP SEMINAR TOPICS
➢ Topics for Group Seminar
❑ 1. Databases vs Data warehouses
❑ 2. OLTP vs OLAP
❑ 3. Slowly Changing Dimensions, Data Loading in Data warehousing and
Demo (Types of Load)
❑ 4. Full Load, Incremental Load, and Demo
❑ 5. ETL and Demo (Do not use SSIS)
❑ 6. Data warehouse in the age of big data (Data Lake, Data Lakehouse)
❑ 7. Tools for Business Intelligence
❑ 8. Data Visualization (Do not use Power BI)
❑ Continue adding …
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