Syllabus and Course Description
Fall/Spring Semester of the Academic Year of Spring, 2013
Department/
Institute of Business
Course Title：(Chinese) 商業智慧個案分析
Institute
and Management
Permanent Course
(English) Business Intelligence Cases
IBM 6163
ID
Instructor: Sule Balkan
Year of Students
(for undergraduate
courses)
Required competence or courses that must be previously taken by students:
NA
Required/
Elective
Credits
E
Course Descriptions and Objectives:
This course is about use and deployment of Business Intelligence at Managerial and Strategic level.
Business Intelligence systems combine operational data with analytical tools to present complex and
competitive information to planners and decision makers (Negash). The objective is to improve the
timeliness and quality of inputs to the decision process. Students will be assigned journal articles,
tutorials and cases to understand these concepts.
Textbooks
Journal articles, tutorials and cases
(please specify Teradatauniversitynetwork.com
titles, authors,
publishers and
year of
publication)
Course Contents
Topics
Outlines
Hours
DemonLectures
stration
Remarks
Experiment
i
Others
1.Data warehousing
2.Dimentional Modeling
3.BI Concepts
1. Microstrategy
2.Tableau
3. SAS
4.Excel
Description of Course Details:

Lectures : Portions of class sessions will be devoted to traditional “lectures” and
discussions around concepts, frameworks, and models that may be applied to a real-life
situation described in the case study.

Hands on Exercises: Portions of a few class sessions will be devoted to technologies that
underlie BI systems – data warehousing, data mining, business process management –
including hands-on computer use to further the understanding of concepts introduced in
the class.

Student Presentations/Discussions: Student teams will be asked to make a presentation
in front of the class to provide a deeper understanding of a topic or to illustrate relevance
of the topic to real-life situations. Homework assigned will mainly consist of preparing
such presentations or Chapter Quizzes

In-class Work: Students will be asked to work individually or in teams on topics of the
day, do problem solving, generate ideas, write short answers to questions, etc.

Quizzes: 150 points (15X10) Multiple Choice Quiz from the readings that will be discussed
that day. If you will be absent from the class please provide proper documentation.

Homework and Assignments: 150 points (30X5): Homework assignments will be given
from the textbook or from the Teradata University Network site. Students will share their
work in class in rotation.
Group Project 200 pts.:

In this assignment you are being asked to work in teams of 3 to assess an important
emerging trend in the area of how data warehousing and business intelligence is used in the
area of Marketing. Your assessment will result in a 30 minute presentation with 5 minutes for
Q&A. Please bring a hard copy of your presentation materials (a well written research paper
and power point (or other medium like prezi) presentation) for review the instructor.
You will prepare a power point presentation and a 10-15 page business report (template will be
shared)
There is considerable flexibility in what can be done, and creativity is encouraged. You are
welcome to give software demonstrations, compare products in the market, present a case
study, give an update on current practices, etc. When creating your presentation, please focus
on communicating depth within your topic, not breadth.
The presentations are graded based on the group’s demonstrated depth of knowledge on
the topic and the ability to communicate useful, relevant information about the topic to their
peers. In other words, the group needs to add value to their peers so that their peers can leave
and apply their new topic understanding. Why should an IT manager care about your topic?
And, how should the IT manager change people, processes, and technologies to best leverage
the topic within his or her organization?
Your presentation should cover at least the following.
Topic Understanding. Your analysis should begin by defining your topic and presenting
your topic within the warehousing and BI industry. In general, what exactly should your
peers understand about this topic to manage it effectively?
Business value. Assess the potential business value of your topic for organizations
involved in warehousing and BI. In general, what should your peers consider when putting
together a business case for this topic?
Software demo or case studies. Place your topic within a context by presenting either
1) a software tool that represents the space under examination or 2) a case study of a
company that is currently exploring and managing your topic. In general, how can you best
communicate to your peers exactly what this topic is in a tangible way?
Looking ahead. What next? Given your research and analysis of your topic, where do we
go from here? In general, how can your peers best prepare to manage your topic in the
future?
Note: Make sure that as you cover these four basic areas, your presentation is communicated as a consistent and
coherent overall story.
Teams and topics: You will work in teams of 2. Each team will be assigned a different topic.
By Monday, October 15th your team must email your 3 possible topic choices from the list
below to sule@nctu.edu.tw. Topics will be assigned based on the order your requests were
received, so please submit your choices as soon as possible. Please e- mail your topic requests
in rank order of preference.
Big Data
Managing unstructured data
Unstructured data warehouses per Bill Inmon;
Text mining;
Knowledge management in BI
In-memory Analytics/In database Analytics
Active data warehousing
Mobile BI
Social BI
Privacy and BI
Closed- loop processes, active warehousing techniques
Integration platforms or warehouse appliances
EII, virtual warehousing, appliances like Netezza
Microsoft or SAP as viable enterprise analytical solutions
The importance of data visualization
Using warehousing/BI to measure business performance
Time Slot
Location
Contact Information
Office Hours
Tuesday
Thursday
12:00-1:00 IBMA303
12:00-1:00 M116
Syllabus
Week
1
2
2/19
Course Objectives and Syllabus Review
2/26
TUN website and review of topics and cases

3/5
3
Contents/Topic
Date
Log on to TUN create and account and browse materials
Discuss Current State of BI and the BI Tutorial Past, Current and
Future Applebee’s video. (Available on the Teradata Student Network)

Download and Read from TUN Watson
"Business Intelligence
Past, Current and Future"
4
5
6
7
3/12
Introduction to Data Modeling-Dimentional Modeling

3/19
Access Creating Data Base -West Bridge Travel Trips

3/26
Students read TUN-Dimensional Modeling Tutorial
Read the power points on Access
Access Mackelby Case

Read the power points on Access
4/2
Group Meeting
4/9
BI Capabilities and Gartner’s Magic Quadrant and the Economist Report
Discussion
8

4/16
9
Download and Read from TUN: Economist Special Report: Data
Data Everywhere
Data Warehousing

Read "Which Data Warehouse Architeture is More Successful?"
article
10
4/23
No class today Students work on their projects
11
4/30
Data warehousing Supports Corporate Strategy at First American
Corporation
5/7
Top 10 BI Vendors
12
13

5/14
Watson, “Future Directions for BI Software,” Business Intelligence
Journal, 2nd Quarter 2008.
5/21
Big Data Tutorial

14
15
Students read Top10 BI Vendors and each group prepare 10 min ppt
on a BI Vendor
5/28
Read “Big Data is Scaling BI and Analytics,” Information
Management Magazine,” Sept/Oct 2011. “Catalina Marketing Aims
for the Cutting Edge of ‘Big Data’,” Information Week, September
14, 2011
Microstrategy

Microstrategy section at TUN
16
6/4
Student presentations
17
6/11
Student presentations
18
6/18
Remarks：
1、Inclusive of visiting institutes/organizations outside the NCTU or other academic events.
2、Please adhere to pertinent regulations/laws on intellectual property rights. Do not
use pirated textbooks.
附件三