See it in SPSS

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See it in SPSS

• A series of in-person or online opportunities for
  SPSS customers to find out about new and existing
  SPSS products.
• Product demonstrations
• Product previews
• QA with SPSS experts

•  

Upcoming Events Online Clementine for
Commercial Sector Feb. 24 In-Person Chicago
Feb. 24 Atlanta April 22
For more information or to register, go to
www.spss.com/seeit
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See it in SPSS Clementine for Higher Education

• Prety Widjaja
• Systems Engineer
• February 10, 2004

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Todays Agenda

• Challenges in higher education
• Data mining defined
• Data mining in higher education
• Case studies
• Clementine demonstration

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Challenges in Higher Education

• Institutional effectiveness
• Student learning outcome assessment
• Enrollment management
• Achieving optimum attraction, retention and
  persistence goals
• Marketing
• Increasing competition for students
• Alumni

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Institutional effectiveness
Getting to know your students

• Which students make greatest use of institutional
  services?
• What courses provide high full-time equivalent
  students (FTES) and allow better use of space?
• What are the patterns in course taking?
• What courses tend to be taken as a group?

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Enrollment management
Helping your students succeed

• Who are our best students?
• Where do our students come from?
• Who is most likely to return for another
  semester?
• Who is most likely to fail or drop out?

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Marketing
Making the best use of tight budgets

• Who is most likely to respond to our new
  campaign?
• Which type of marketing/recruiting works best?
• Where should we focus our advertising and
  recruiting?

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Alumni
Continuing the relationship

• What are the different types/groups of alumni?
• Who is likely to pledge, for how much, and when?
• Where and on whom should we focus our fundraising
  drives?

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What is Data Mining?

• The process of discovering meaningful new
  correlations, patterns, and trends by sifting
  through large amounts of data stored in
  repositories and by using pattern recognition
  technologies as well as statistical and
  mathematical techniques.
• The Gartner Group

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Data mining

• Is
• A user-centric, interactive process which
  leverages analysis technologies and computing
  power
• Computers and algorithms dont mine data people
  do!
• Is not
• Blind application of analysis/modeling algorithms
• Brute-force crunching of bulk data

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Data Mining Methodology
CRISP-DM industry standard data mining
methodology
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Data Mining with Clementine

• Industry-leading workbench for data mining
• Comprehensive range of tools for all stages of
  the data mining process
• Pioneered visual approach for maximum
  productivity
• Multiple modeling techniques to predict future
  events

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Case Studies
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Case Studies

• Babson College
• Challengeprovide innovative curriculum for their
  graduate students to gain a competitive advantage
  in the business world
• Solutionintegrating SPSS Incs Clementine into
  their MBA curriculum
• Result
• Provided students ability to understand and
  synthesize data
• Increased software investment by identifying
  additional applications

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Case Studies

• Cabrillo College
• Challenge Identify student enrollment patterns
  and tendencies
• Approach
• Use a combination of both segmentation and
  clustering techniques to establish typologies and
  to understand grouping dynamics as well as
  predictive modeling.
• Predict students probability of completing a
  class, transferring out, or leaving the school
  altogether
• Results
• Reduced marketing costs and improved curriculum
  offerings
• Increased revenue through student retention

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Case Studies
Data Mining and Knowledge Management, Jing
Luan, Ph.d., Terrence Willett, M.S.

• Challenge Prediction of students who will be
  placed on academic probation.
• Approach produce early warning model by using
  rule induction C5.0 algorithm.
• Result Identify high risk students and provide
  academic assistance where necessary

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Clementine Demonstration
If you are not automatically taken to the "Shared
Application" screen during the demonstration,
please click on the "Shared Application" button
at the bottom of your screen.
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Benefit

• Unparalleled productivity
• Workflow provides complete support of the
  complete CRISP-DM methodology
• Breadth of techniques for modeling and processing
• Openness
• Leverages investment in existing systems
• Scalability
• Scales the entire interactive data mining process
• Deployment
• Fast and cost-effective delivery of data mining
  solutions

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Special Offer!

• Purchase Clementine by March 29th and receive 20
  off the Introduction to Clementine training
  class!

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More information
http//www.spss.com/clementine
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Question and answer
Sales sales_at_spss.com Technical
supporthttps//www.spss.com/tech/techtalk.htm(3
12) 651-3410 See it in SPSS eventswww.spss.com
/seeit