This unit provides an understanding of the business value of customer relationship management and how data mining technology can be used to improve organizational interaction with customers. Building a business around the customer relationship is the aspiration of many modern organizations. Customer relationship management and data mining has been combined together to provide the required concepts, techniques, technology and tools to achieve this goal. The unit discuss how IT and IT based techniques can be used for customer segmentation, clustering and classification, market basket analysis and association rule mining in addition to traditional CRM.
2 hrs lectures/wk, 1 hr laboratory/wk
Students will be expected to spend a total of 12 hours per week during semester on this unit.
This will include:
David Dowe
David Dowe
Contact hours: To Be Confirmed - e-mail for other times/appointment
David Dowe
Contact hours: To Be Confirmed - e-mail for other times/appointment
Sumith Matharage
Asanka Fonseka
At the completion of this unit students will be able to:
Examination (3 hours): 60%; In-semester assessment: 40%
| Assessment Task | Value | Due Date |
|---|---|---|
| Assignment 1 - SQL Server and Data Warehousing | 20% | Week 7, Friday 15 April 2011 |
| Assignment 2 - Data Mining | 20% | Week 11, Friday 20 May 2011 |
| Examination 1 | 60% | To be advised |
Monash is committed to excellence in education and regularly seeks feedback from students, employers and staff. One of the key formal ways students have to provide feedback is through SETU, Student Evaluation of Teacher and Unit. The University's student evaluation policy requires that every unit is evaluated each year. Students are strongly encouraged to complete the surveys. The feedback is anonymous and provides the Faculty with evidence of aspects that students are satisfied and areas for improvement.
For more information on Monash's educational strategy, and on student evaluations, see:
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http://www.policy.monash.edu/policy-bank/academic/education/quality/student-evaluation-policy.html
If you wish to view how previous students rated this unit, please go to
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WEKA Data Mining software
SQL Server (2008)
This and other any software needed will be made available or provided.
| Week | Date* | Activities | Assessment |
|---|---|---|---|
| 0 | 21/02/11 | No formal assessment or activities are undertaken in week 0 | |
| 1 | 28/02/11 | CRM and Customer Intelligence | |
| 2 | 07/03/11 | Storing Data for Customer Intelligence | |
| 3 | 14/03/11 | Data Warehousing with SQL Server 2005 | |
| 4 | 21/03/11 | Dimensional Modeling | |
| 5 | 28/03/11 | Data Warehouse and Analytical CRM | |
| 6 | 04/04/11 | Online Analytical Processing | |
| 7 | 11/04/11 | Introduction to Business Data Mining | Assignment 1 due Week 7, Friday 15 April 2011 |
| 8 | 18/04/11 | Customer Relationship Management (CRM) | |
| Mid semester break | |||
| 9 | 02/05/11 | Decision Trees | |
| 10 | 09/05/11 | Neural Networks | |
| 11 | 16/05/11 | Collaborative Filtering and User Profiling | Assignment 2 due Week 11, Friday 20 May 2011 |
| 12 | 23/05/11 | Customer Life Cycle and Data Mining | |
| 30/05/11 | SWOT VAC | No formal assessment is undertaken SWOT VAC | |
*Please note that these dates may only apply to Australian campuses of Monash University. Off-shore students need to check the dates with their unit leader.
To pass a unit which includes an examination as part of the assessment a student must obtain:
If a student does not achieve 40% or more in the unit examination or the unit non-examination total assessment, and the total mark for the unit is greater than 50% then a mark of no greater than 49-N will be recorded for the unit
Details will be provided.
Details will be provided.
Assignment coversheets are available via
"Student Forms" on the Faculty website: http://www.infotech.monash.edu.au/resources/student/forms/
You MUST submit a completed coversheet with all assignments, ensuring
that the plagiarism declaration section is signed.
Submission must be made by the due date otherwise penalties will be enforced.
You must negotiate any extensions formally with your campus unit leader via the in-semester special consideration process: http://www.infotech.monash.edu.au/resources/student/equity/special-consideration.html.
Monash has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University's academic standards, and to provide advice on how they might uphold them.
You can find Monash's Education Policies at:
http://policy.monash.edu.au/policy-bank/academic/education/index.html
Key educational policies include:
The University provides many different kinds of support services for you. Contact your tutor if you need advice and see the range of services available at www.monash.edu.au/students The Monash University Library provides a range of services and resources that enable you to save time and be more effective in your learning and research. Go to http://www.lib.monash.edu.au or the library tab in my.monash portal for more information. Students who have a disability or medical condition are welcome to contact the Disability Liaison Unit to discuss academic support services. Disability Liaison Officers (DLOs) visit all Victorian campuses on a regular basis
Reading List
Practical Business Intelligence with SQL Server 2005 by John C. Hancock and Roger Toren, Addison Wesley, 2006
The Microsoft Data Warehousing Toolkit by Joy Mundy and Warren Thornthwaite, John Wiley & Sons, 2006