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Applied strategies for getting data into the hands of decision-makers Lunch and Learn Online Seminar Series. July 21, 2005 Predictive Analytics in Higher Education Administration Hosted by: Bob Valencic, SPSS Higher Education. Today’s Agenda. Business issues in higher education

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Applied strategies for getting data into the hands of decision-makers Lunch and Learn Online Seminar Series

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Applied strategies for getting data into the hands of decision makers

Applied strategies for getting data into the hands of decision-makersLunch and Learn Online Seminar Series

July 21, 2005

Predictive Analytics in Higher Education Administration

Hosted by: Bob Valencic, SPSS Higher Education

© 2005 SPSS Inc.


Today s agenda

Today’s Agenda

  • Business issues in higher education

  • Defining the Predictive Enterprise and SPSS Web App Framework

  • Today’s Case Study with Sherri Sahs

  • Q & A

  • Want to learn more?

  • Upcoming Events


Higher education business issues

Higher Education Business Issues

  • Institutional effectiveness

  • Student learning outcomes assessment

  • Enrollment management

  • Marketing

  • Alumni

How can advanced analytical

technology help?


Data at the heart of the the predictive enterprise

CRM

Operations

Risk

Text mining

Surveys

Studentservice

Web mining

Enrollmentmgmt

Student View

Alumnifunding

Data at the heart of theThe Predictive Enterprise

  • Interaction data

  • - Offers

  • Results

  • Context

  • Click streams

  • Notes

  • Attitudinal data

  • - Opinions

  • Preferences

  • Needs

  • Desires

  • Descriptive data

  • Attributes

  • Characteristics

  • Self-declared info

  • (Geo)demographics

  • Behavioral data

  • - Courses taken

  • - Transactions

  • Test history

  • - Contributions


Spss web app framework

SPSS Web App Framework


Getting data into the hands of decision makers

Getting data into the handsof decision-makers

SHERRI L. SAHS

Decision Support Systems Manager and Research Analyst

© 2005 SPSS Inc.


Overview of presentation

Overview of Presentation

  • Background

  • Dynamic Web-Based Environment

  • Project Status

  • Demonstration

  • Questions


Background

Background

  • IR office keepers of the “official” data

    • Data downloaded from several systems/sources

    • Data analyzed using SPSS products

      • Static web data views and hard copy reports

  • 2003-2005 IR Strategic Initiative

    • Incorporate dynamic data access


Dynamic web based environment

Dynamic Web-Based Environment

  • Easy & immediate access to information

  • Adaptable to specific user needs

  • Canned, interactive, and ad-hoc analysis and reports


Dynamic web based environment1

Dynamic Web-Based Environment

  • SPSS WebApp Framework

    • Released June 2001

    • Developed with Gallup Organization

      • Unfilled customer need

      • Demand easy & immediate access to information

    • True thin-client

      • Web browser & Internet connection


Dynamic web based environment2

Dynamic Web-Based Environment

  • SPSS WebApp Framework

    • Data compatibility

      • Native SPSS (SAV) files

      • Relational database (MS SQL server, Oracle, IBM DB2)via JDBC & ODBC drivers

    • Customized applications/interfaces

      • SPSS syntax, HTML, JavaScript & JSP fundamentals

      • XML for Metadata

      • Full power of SPSS analytics


Dynamic web based environment3

Dynamic Web-Based Environment

  • Minimum System Requirements

    • Server

      • 2GB RAM

      • 700MB drive space

      • MS Windows 2000 server or MS Windows 2003 Server; Sun Solaris 2.8 or higher

      • 2 CPUs with 1GHz processors

    • Database

      • MS SQL Server 2000 (included w/SPSS WebApp) or Oracle 9i

    • Web Client

      • MS Internet Explorer 5.5 for Windows or Safari 1.2 for Macintosh


Project status

Project Status

  • Implementation

    • Initial - January 2004

    • Upgrades (Hardware & software) - October 2004

  • Delay in university-wide deployment

    • Resources

    • Need to include dashboard indicators

  • Focus group feedback

  • University-wide availability

    • Fall 2005


Applied strategies for getting data into the hands of decision makers

Data Distribution – With SPSS WebApp


Scenario 1

Scenario #1

  • Director of Admissions needs applied, accepted, deposited, and enrolled headcount for current term as of today.


Applied strategies for getting data into the hands of decision makers

Data Distribution – With SPSS WebApp


Applied strategies for getting data into the hands of decision makers

Data Distribution – With SPSS WebApp


Scenario 2

Scenario #2

  • Faculty member from the department of Aeronautical Science wants to know if incoming freshmen who declared Aeronautical Science as their major chose ERAU because of the degree programs offered.


Applied strategies for getting data into the hands of decision makers

Data Distribution – With SPSS WebApp


Applied strategies for getting data into the hands of decision makers

Demonstration: Create Frequency Table & Graph


Applied strategies for getting data into the hands of decision makers

Demonstration: Create Frequency Table & Graph


Applied strategies for getting data into the hands of decision makers

Demonstration: Publish Document


Applied strategies for getting data into the hands of decision makers

Demonstration: Publish Document


Scenario 3

Scenario #3

  • Strategic Planning analyst needs data for the average number of term hours taken in the last 5 years by each major program.


Applied strategies for getting data into the hands of decision makers

Demonstration: Create Pivot Table


Applied strategies for getting data into the hands of decision makers

Demonstration: Pivot Table Download


Scenario 4

Scenario #4

  • Faculty member coordinating CAA Self Study requests 5 years of enrollment data for all programs under the College of Aviation. Break out data for each campus by class level to include: state, country, HS Rank and average ACT and SAT scores.


Applied strategies for getting data into the hands of decision makers

Demonstration: Create Webcube


Applied strategies for getting data into the hands of decision makers

Demonstration: Create Webcube


Applied strategies for getting data into the hands of decision makers

Demonstration: Create Webcube


Scenario 5

Scenario #5

  • Department of Financial Aid completing Florida Department of Education Eligibility application needs Fall 2004 enrollment data for in-state residents. (1) Number of full-time/part-time students by degree seeking/non-degree seeking by program level. (2) Credit hours for full-time students by program level. (3) Credit hours for full-time degree-seeking students by program level.


Applied strategies for getting data into the hands of decision makers

Demonstration: Create SPSS Command Syntax


Applied strategies for getting data into the hands of decision makers

Demonstration: Create SPSS Command Syntax


Applied strategies for getting data into the hands of decision makers

Demonstration: Save SPSS Command Syntax


Applied strategies for getting data into the hands of decision makers

Demonstration: Save SPSS Command Syntax


Applied strategies for getting data into the hands of decision makers

Q & A

© 2005 SPSS Inc.


Want to learn more

Want to Learn More?

  • Contact an SPSS data mining expert by calling 800-543-2185 option 2.

  • http://www.spss.com/webapp

  • Check out the Knowledge Management/Data Mining Discussion Group: http://www.dmhe.org

  • People, Processes, and Managing Data, Second Edition by Gerald McLaughlin and Richard D. Howard – www.airweb.org

  • Bob Valencic rvalencic@spss.com


Events workshops

Events & Workshops

  • SPSS Directions 2005 – November 16 – 19, Las Vegas, NVhttp://www.spss.com/spssdirections/

    • “Hands-on Application of Clementine for Clustering and Predictive Modeling” presented by Dr. Jing Luan

  • MIDAIR Conference – November 9-11, 2005 Columbia, Missouri

    • “Hands-on Application of Clementine forClustering and Predictive Modeling” presented by Dr. Jing Luan

  • Look for other Lunch and Learn online seminars for Higher Education at www.spss.com/lunchandlearn.

    Other topics included

    • Data mining’s role in managing student lifecycles

    • predicting first year retention and key student characteristics

    • getting data into the hands of decision-makers


Thank you for attending today s online seminar

Thank you for attending today’s online seminar

To contact today’s speakers:

Bob Valencic: rvalencic@spss.com

Sherri Sahs: sahss@erau.edu

© 2005 SPSS Inc.


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