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5th Annual Conferenceon Technology & Standards
April 28 – 30, 2008Hyatt Regency Washingtonon Capitol Hill
www.PESC.org
The Application of BI in Higher Education
John Van Weeren, Product Manager, Datatel, Inc.
Journey to a Culture of Evidence
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Operational Effectiveness
Admissions Office
“In preparation for my 9:00 a.m. meeting, I need an up-to-the-minute count of prospects who have been accepted at our institution for the fall 2008 starting class.”
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Process Effectiveness
Admissions Office
“As the new VP of Enrollment Management, I need to measure our success in preparing an offer to a qualified prospect from the time they were targeted to the time the offer letter was sent.”
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Institutional Effectiveness
Admissions Office“Based on our history, where should the student characteristics be at this point in time to ensure that we are on target to meet our shaping goals.
So, I need a count of Admit students 30 days after posting our acceptance letters for 2007, 2006, and 2005.”
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5th Annual Conferenceon Technology & Standards
Other Uses of BI
• Targeting prospects to improve yield
• Optimizing admissions offers
• Retention and Intervention
• Course offering planning
• Optimizing returning student FA awards
• Targeting alumni giving
• Wealth screening
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5th Annual Conferenceon Technology & Standards
b
Metric
Gauge KPI
Status
New Students Enrolled
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What Are The Tools & Infrastructure?Operational
EffectivenessProcess
EffectivenessInstitutional
Effectiveness
ERP System Reports
Cognos 8Reporting Analysis Dashbaording & Scorecarding
Microsoft FRx, Reporting Services Analysis Services, ProClarity Performance Point
OracleReports Discoverer Enterprise Performance Mgmt
iStrategy HigherEd Analytics -- ZogoTech – Data Warehousing
Microsoft Desktop Tools (Excel, Access, etc.)
SAS – SPSS - KXEN
Business ObjectsCrystal Reports Web Intelligence Xcelcius, Dashboard Builder Performance Management
Increasing ValueDatatel Copyright Reserved
What Is The Primary Data Source?
Operational Data Store and Independent Data Marts
Transaction Table Views
Other TransactionSystem Data
ERP
Data WarehouseDatatel Copyright Reserved
5th Annual Conferenceon Technology & Standards
5th Annual Conferenceon Technology & Standards
What is an ODS?
• A separate repository of data from one or more source transaction systems
• Data organized for general reporting needs
• Level of detail is same as the source transaction systems
• Updated on a regular interval
• Staging area for data warehouse
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5th Annual Conferenceon Technology & Standards
What is a Data Mart?
• A separate repository of data from one or more source transaction systems
• Data organized to answer specific business questions in one subject area
• Level of detail may be summarized
• Updated on a regular interval
• Often considered as or part of a data warehouse
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5th Annual Conferenceon Technology & Standards
What is a Data Warehouse?
• Kimball – “A copy of transaction data specifically structured for query and analysis.”
• Inmon – “… is a subject oriented, integrated, time-variant, and non-volatile collection of data in support of management and the decision making process.”
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5th Annual Conferenceon Technology & Standards
Dimensional Data Model
Fact TableFact Table
DimensionDimension
DimensionDimension
DimensionDimension
DimensionDimension
DimensionDimension
DimensionDimension
DimensionDimension
DimensionDimension
Star Schema Design
DimensionKeys
Measures
SecondaryInformation
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5th Annual Conferenceon Technology & Standards
Example ContentFact Areas DimensionsDimensions
Admissions:Application MethodApplicant Home StatePrior Applicant Ind.Applicant Fin Aid InterestApplicant Housing InterestRecruiting CategoryApplicant StatusAdmit CategoryApplicant SAT BandApplicant HS GPA BandApplicant Age BandFaculty Attributes:FacultyFaculty RankHighest Education LevelTenured StatusGraduates:Graduated IndicatorDegreeYears to Graduate
Institutional:TermCareer/PlanAcademic Department Student Term:Academic LevelAcademic StandingCohort/Cohort TypeStudent Term StatusFT/PT; Credit Hour BandClass/Grade:Subject/ClassCourse LevelClass TypeGradeGPA BandStudent Attributes:StudentStudent CitizenshipStudent EthnicityStudent GenderStudent GeographyStudent Age Band
ClassSchedule
ClassSchedule
StudentTerm
StudentTerm
ClassRegistration
ClassRegistration
AdmissionsAdmissions
GraduatesGraduates
FacultyTerm
FacultyTerm
Student FinancialsStudent
Financials
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5th Annual Conferenceon Technology & Standards
Multi-dimensional Cubes
Term
Lo
cati
on
Age BandEthnicity
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5th Annual Conferenceon Technology & Standards
Benefits of this Approach
• Flexible organization of data for reporting• Best Performance
– Few joins to get related data– Fast indexing– Aggregations done during ETL, not query
• Efficient and easy to understand– Facts are in one place, not repeated– Dimensions are reusable with other facts– Accurately represents real life activity
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5th Annual Conferenceon Technology & Standards
Making it Real… A lot of times people don’t know what they want until you show them.
- Steve Jobs
5th Annual Conferenceon Technology & Standards
Related Standards
• Data definition– PESC: Core, and all component definitions– College Board: Common Data Set
• Data modeling– CWM (Common Warehouse Model)
– BPQL (business process query language)
– PMML (predictive modeling markup language)
– XFRML (extensible financial reporting markup language)
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5th Annual Conferenceon Technology & Standards
Challenges in HE
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Funding
Business Analysts
Data Definition
Infrastructure
5th Annual Conferenceon Technology & Standards
Summary for SuccessSuccess depends upon previous preparation, and without such preparation there is sure to be failure.
- Confucius
5th Annual Conferenceon Technology & Standards
Questions?
Be sure to fill out the survey
Thank You!
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