Data Warehousing,
Business Intelligence and Data Mining
USC Marshall School of Business
INFORMATION AND OPERATIONS MANAGEMENT
Who should take this course?
This course targets students who plan to be a future executive of a company
(those who want to leverage the information asset of a company and convert
companies to real-time enterprise) or who will work with or manage teams involved in
Data analysis and Mining, Business Intelligence or Data Warehousing. For students who
like state of the art technologies.
It should be a very appropriate class for:







Careers in consulting (e.g., “Big Four,” and other consulting firms are key
placement targets)
Knowledge Managers
Information Systems
Strategic Analysis
Real-time Corporations
Business Intelligence
Functional-area experts:
o
Marketing (Quantitative- Campaign Management, Cross-selling, Upselling)
o
Finance (Creating new paradigm and discovering patterns)
o
Accounting (Forensic Accounting)
o
Information Systems (Leveraging Corporate Data, Real-time Enterprise)
o
Algorithm Developers
o
Professional careers in IT (CIO, CTO, Business Intelligence, etc.)
This course requires some previous course work in statistics.
Instructional goals




To develop an understanding of the various concepts and tools behind
data warehousing and mining data for business intelligence.
To develop quantitative skills pertinent to the analysis of data from huge
corporate data warehouses
To develop industry level data mining skills using SAS enterprise Miner and
desktop level data mining skills using SAS JMP software
To develop Data warehouse architecture from Business point of view
Method of instruction
This course will use lectures, guest lectures, and labs and is project-based. The term
project will be the "cap stone" of the semester and requires the student to envision a
data-mining problem, collect relevant data, analyze the data and present the
results. The project will apply most of the techniques/concepts covered during the
semester and will enable you to obtain firsthand experience in analyzing data and
discovering pattern and extracting significant results. Many of the projects in the past
have been industry level consulting projects. For the projects you will be using SAS
enterprise Miner and/or using SAS JMP software.
IOM 528
Summer Semester
Wednesday: 6:30 – 9:30 pm
& 3 Saturdays, 10 am – 2 pm
For further information
please contact:
Dr. Arif Ansari
BRI 401 R
aansari@marshall.usc.edu
(213) 821-5521
About the professor:
Dr. Arif Ansari (Clinical Associate
Professor) is the Academic Director
for MBA PM Program. He is an expert
in the area of data mining, business
intelligence and data warehousing,
a field in which he has fifteen years
of research experience. Professor
Ansari received Marshall's Golden
Apple Awards in 2006 and 2009. He
holds a PhD in Electrical Engineering.
He has taught courses in business
statistics and Data mining for
undergraduate and graduate
students in the Marshall School of
Business. He is known for building
algorithms using data mining
techniques and extracting valuable
information from the data set to use
in business strategy.