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DEVELOPING BUSINESS INTELLIGENCE AT ST. CLOUD STATE UNIVERSITY Minnesota State Colleges & Universities CAO/CSAO/Deans Conference [May 29, 2008]

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Presentation on theme: "DEVELOPING BUSINESS INTELLIGENCE AT ST. CLOUD STATE UNIVERSITY Minnesota State Colleges & Universities CAO/CSAO/Deans Conference [May 29, 2008]"— Presentation transcript:

1 DEVELOPING BUSINESS INTELLIGENCE AT ST. CLOUD STATE UNIVERSITY Minnesota State Colleges & Universities CAO/CSAO/Deans Conference [May 29, 2008]

2 What is business intelligence? The term business intelligence (BI) refers to technologies, applications and practices for the collection, integration, analysis, and presentation of business information and also sometimes to the information itself. The purpose of business intelligence is to support better business decision making. Source: Wikipedia

3 Measurement concepts  Data: collection of facts from which information can be derived  Base measure: quantifying data value in context of the thing that it quantifies  Derived measure: complex measure deduced from multiple data points  Metric: system of measures based upon standard units  Business metric: metric with the context of business goal  Indicator: business metric used to track performance  Index: composite of indicators used to assess overall health

4 Decision support framework Strategic Decision Type Type of Analysis Tactical Operational Fully automated Custom analysis High Volume/ Transactional Process/Group Specific Broad and infrequent

5 SCSU’s BI system framework Scorecard/dashboard reporting Data analysis & decision support Automated standard reports Central data access & storage

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7 Automated standard reports

8 Data analysis & decision support

9 Scorecard/dashboard reporting

10 Development timeline Sept 2005Initial BI planning Spring 2006Investigated BI options Summer 2006Developed first prototype Aug 2006Initiated collaboration w/Winona Fall 2006Involvement w/Microsoft BI Council Winter 2007 Initial DataMart development Winter 2007Proof of concept development Aug 2007Full project plan developed Fall 2007Instructional workload project defined April 2008Presented Dashboard concept to the Microsoft National BI Council

11 Pilot: Instructional Workload Cube Fact/Qualifier Analysis Instructional Workload/Department Productivity Cube Business Questions 1. What is the faculty’s teaching assignment(s)? 2. What other assignments does a faculty member have? 3. What are the number of student credit hours generated? 4. What is the revenue generated by the faculty member and department? 5. What are the expenses associated with the faculty member and department?

12 Fact/Qualifier Matrix Teaching assignments Other assignments SCH generation Revenue generated Related expenses Employee’s namexxxxx Rostered departmentxxxxx Collegexxxxx Course numberx On-load credits for coursex Student credits for coursexx # of students enrolled in coursexx Termxxxx Fiscal yearxxx Level (UG, Grad, Doctorate)xx Dept. offering coursex Overloadxx Off-sitexx International coursexx Continuing Studiesxx Cross listed coursesxx Thesis, Internship, Ind. Studyx Sabbaticalx Release time typex Tuition rate by typex Feesx Salary expensex Add. compensation by typex Benefits expensex Supply & equip. exp. by typex Grants and contracts generatedx

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15 Things we’ve learned  Start from a business need  Definitions are key  Building infrastructure takes time  Dirty data  History  Department table  Security  Hardware integration

16 Next steps  Operationalize and refine of workload cube  Integrate faculty scholarship  Security access  Assessment  Enrollment analysis


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