BAN 703- Introduction to Business Intelligence

• Contact Information

• Course Description

• Course Outcomes

• Prerequisites

• Required Text(s) and Materials

• Assessment Method(s) and Evaluation

• Grading

• Attendance Policy

• Academic Integrity

• Course Expectations

• Tentative Detailed Course Content and Recommended Readings

• Student Opinion of Instruction

• Title IX Statement

• Access Statement

• Instructor:
• Office:
• E-Mail:
• Phone:
• Office Hours: (Virtual via portal)

This course provides an understanding of the application of software technologies that enables business users to make better and faster decisions based on enterprise data. During the course, students are introduced to various topics, such as Data Warehousing and will be given the opportunity to create Business Intelligence solutions. Students will learn the principles and best practices for how to use data in order to support fact-based decision-making. Emphasis will be given to applications in marketing, where the use of BI helps in, e.g., analyzing campaign returns, promotional yields, or tracking social media marketing; in sales, where the use of BI helps performing sales analysis; and in application domains such as Customer Relationship Management and e-Commerce.

Upon completion of this course, the student will be able to:

1. Identify and discuss the role of data in supporting management decision-making and gaining competitive advantage.
2. Discuss and evaluate different BI framework, techniques and tools used in gathering, analyzing, and managing data.
3. Discuss the challenges and critical successful factors associated with implementing business intelligence and their impacts on organizations.
4. Articulate examples of how businesses are using business intelligence tools to enhance competitiveness and profitability.
5. Research the trends of business intelligence tools and practices in industry.
6. Enhance communication, research, analytics, and collaboration skills.

There are no prerequisites for this course.

Lecture topics and assignments are listed under Course Content below. The overheads used in class will be available as pptx and pdf files from the course web site.
The core textbook used in this course is:
Sherman, R. (2015), Business Intelligence Guidebook: From Data Integration to Analytics, Newnes.
Supplementary Textbooks used for the course are:

• Sharda, R, Delen, D. and Turban, E. (2014), Business Intelligence and Analytics: Systems For Decision Support, 10th edition, Pearson
• Howson, C. (2014), Successful Business Intelligence, 2nd edition, McGraw Hill Education

Extra course material will be provided during the lectures when necessary.

Assessment Task 1: Mid-Term Examination

This assessment task contributes to the development of the following graduate attributes:

• Business knowledge and theoretical concepts
• Critical thinking
• Analytical skills
• Ethical decision making, and
• Creativity

These altogether addresses course outcome(s): 1, 2, 3 and 4 Weight of the assessment: 60%

Criteria	Weight (%)	Course Outcomes
Understanding of content covered in lectures	20	1,2,3
Accuracy of information presented	20	2,3
Correct identification of important issues	20	4,5
Persuasiveness of argument(s)	20	2,3,5
Clarity of academic writing, structure and grammar	20

University’s standardized grading scale, provided in the table below, is applicable in this course. The grades are given according to the cumulative score the student obtains at the end of the semester.

Grading Scale
Grade	Quality Points
A = Excellent	89-100
B = Good	79-88
C = Satisfactory	69-78
D = Passing	50-68
F = Failing	0-49
WF = Withdrew failing	0

Students are required to attend 80% of tutorials and will not be marked present for the course in a particular week if they have not posted on the discussion forum and/or submit assignment/essay or complete assessment if administered in that week.

Academic integrity is the responsibility of all Suje Florida University faculty and students. Cheating and plagiarism are not tolerated and will result in a failing grade, if the student is found guilty of cheating. Students are responsible for knowing and abiding by the Academic Integrity Policy. All students are expected to do their own work and to uphold a high standard of academic ethics.

• Get to know your syllabus and reading/assignment schedule. Always have it available for reference. Your syllabus is your contract with your instructor. While your instructor may change assignment schedules from time to time, this document will have the important rules and regulations, major assignments, and schedule of readings and assignments.
• Log on at least three times a week – on different days in order to completely weekly assignments, assessments, discussions and/or other weekly deliverables as directed by the instructor and outlined in the syllabus.
• Start early on everything. Take assignment deadlines seriously. Know each faculty member’s policy on late work and follow it. Do not expect exceptions to be given. Learn both time management and project management skills as both will assist you in your education and in your life.
• Assume quality of writing always counts. Papers take time, they take academic research, they take proofreading, and they take attention to detail. If you want or need help, see your instructor early.
• Protect your academic integrity above all else. If you ever doubt that what you are considering constitutes plagiarism, or other unethical conduct, ask first! Plagiarism is serious unethical conduct and getting caught (which you will!) can result in consequences that will haunt you for the rest of your academic career.
• Participate in the weekly threaded discussions, this means that, in addition to posting a response to the thread topic presented, students are expected to respond to each other and comment and questions from the instructor and/or other students.
• Check your e-mail often.
• Communications with the instructor should be via University portal or the phone numbers listed above. Email is preferred.

Week	Topic	Recommended Reading(s)
1	The Business Demand for Data, Information, and Analytics	Sherman, R. (2015), Business Intelligence Guidebook: From Data Integration to Analytics, Newnes - Chapter 1
2	Justifying BI	Sherman, R. (2015), Business Intelligence Guidebook: From Data Integration to Analytics, Newnes - Chapter 2
3	Defining Requirements—Business, Data, and Quality	Sherman, R. (2015), Business Intelligence Guidebook: From Data Integration to Analytics, Newnes - Chapter 3
4	Information Architecture	Sherman, R. (2015), Business Intelligence Guidebook: From Data Integration to Analytics, Newnes - Chapter 4 and 5
5	Data Architecture	Sherman, R. (2015), Business Intelligence Guidebook: From Data Integration to Analytics, Newnes - Chapter 6
6	Technology and Product Architecture	Sherman, R. (2015), Business Intelligence Guidebook: From Data Integration to Analytics, Newnes - Chapter 7
7	Foundational Data Modeling	Sherman, R. (2015), Business Intelligence Guidebook: From Data Integration to Analytics, Newnes - Chapter 8
8	Mid-Term Exam
9	BI Dimensional Modeling	Sherman, R. (2015), Business Intelligence Guidebook: From Data Integration to Analytics, Newnes - Chapters 9 and 10
10	Data Integration Design and Development	Sherman, R. (2015), Business Intelligence Guidebook: From Data Integration to Analytics, Newnes - Chapter 11
11	Data Integration Processes	Sherman, R. (2015), Business Intelligence Guidebook: From Data Integration to Analytics, Newnes - Chapter 12
12	BI Applications	Sherman, R. (2015), Business Intelligence Guidebook: From Data Integration to Analytics, Newnes - Chapter 13
13	BI Design and Development	Sherman, R. (2015), Business Intelligence Guidebook: From Data Integration to Analytics, Newnes - Chapter 14
14	People, Process, and Politics	Sherman, R. (2015), Business Intelligence Guidebook: From Data Integration to Analytics, Newnes - Chapter 17
15	Future of Business Intelligence
16	Final Exam

At the end of the term, all students will be expected to complete an online Student Opinion of Instruction survey that will be available on portal. Students will receive an email notification through their VSU email address when the SOI is available. SOI responses are anonymous to instructors/administrators. Instructors will be able to view only a summary of all responses two weeks after they have submitted final grades.

Suje Florida University is committed to creating a diverse and inclusive work and learning environment free from discrimination and harassment. Discrimination on the basis of race, color, ethnicity, national origin, sex (including pregnancy status, sexual harassment and sexual violence), sexual orientation, gender identity, religion, age, national origin, disability, genetic information, or veteran status, in the Suje Florida University's programs and activities is prohibited as required by applicable laws and regulations such as Title IX. The individual designated with responsibility for coordination of compliance efforts and receipt of inquiries concerning nondiscrimination policies is the University's Title IX Coordinator.

Students with disabilities who are experiencing barriers in this course may contact the Access Office for assistance in determining and implementing reasonable accommodations.