Data Warehouse Based Decision Support for Higher Education Management

Transcription

1 Data Warehouse Based Decision Support for Higher Education Management Our BI-Approach Decision-Makers and Scenarios Lessons Learned Dr.-Ing. Bodo Rieger University of Osnabrueck, Germany Professor Management Support and Information Systems Member of the Board and virtual Teaching () Slide 1

2 University of Osnabrueck Enrollment: Programs: 175 (69 undergraduate / 106 graduate ) Employees: 1543 (840 academic / 703 non academic) IT staff: 50 FTE three technology departments Our BI Approach? Slide 2

3 Our BI Approach (1) Support internal decison making (operational and strategic) (2) Improve operational process performance (3) Public representation of the university (external reporting) Slide 3

4 Our BI Architecture Who are the decision makers in our BI System? Lecture-Management Applicants Enrollment HIS-ZUL Research ForschungsDB Stud.IP Decision Support Reporting/Analyses HIS-SOS HIS-POS Exams Financial Management SAP- FI/CO/PSM Data Warehouse AlumniOS SAP-HR PICA BuiSy alumni Personal- Management Literature- Management Facility- Management Slide 4

5 Our BI Architecture mymis - Decsion Support Portal Analytics Data Warehouse Derived DSS Data Interactive Standard- Reports... Top Management Lecturers Students Reconciled Data... Top Management Lecturers Students (Partly Bi-directional) Data Extraction, Transfer and Load HIS... Stud.IP Slide 5

6 Decision-Makers in Higher Education Students Lecturers dean higher management Top Management Slide 6

7 Decision-Makers in Higher Education Students if students make wrong decisions it (also) affects the university Lecturers Self Monitoring Dean higher management Top Management Slide 7

8 Student Individual Benchmark Student ID WT 2006 Information Systems I WT 2006 Marketing ST 2007 Business Intelligence WT 2008 Leadership WT 2008 Information Systems II ST 2009 Operations Research ST 2009 Algorithms own grade best 25 % 25 % better than median 25 % below median weakest 25 % Slide 8

9 Student Mobile Access Web based application for smartphones (platform independent) Online registration for examinations Online access to exam dates and results SMS notification E Mail reminder Calendar export function Slide 9

10 Decision-Makers in Higher Education Students if students make wrong decisions it (also) affects the university Lecturers Self Monitoring Dean higher management Top Management Slide 10

11 Decision-Makers in Higher Education Students if students make wrong decisions it (also) affects the university Lecturers administrative self management is not a core competence of lecturers Self Monitoring Dean Exam Date Scheduling higher management Top Management Slide 11

12 Conflict Check Lecturer Mr. Miller, lecturer for economics, checks possible exam dates open Slide 12

13 Lecturer Exam Date Optimization Re scheduling based on the heuristic optimization results Start: Re scheduling candidate List of exams conflicting targets Targets 1. Mark an exam to reschedule 2. Room (capacity) is checked 3. Possible dates are checked 4. Critical exam dates are highlighted 5. Choose the date to reschedule Slide 13 Consider students wishes

14 Decision-Makers in Higher Education Students if students make wrong decisions it (also) affects the university Lecturers administrative self management is not a core competence of lecturer Self Monitoring Dean Exam Date Scheduling higher management Top Management Slide 14

15 Decision-Makers in Higher Education Students if students make wrong decisions it (also) affects the university Lecturers administrative self management is not a core competence of lecturer Self Monitoring Dean increasing competition requires sophisticated incentives Exam Date Scheduling higher management Top Management Resource Allocation Slide 15

16 What If Analysis Mr. Brown, the academic dean, can allocate the budget according to the performance of chairs. Parameter Performance criteria Results Basic model Scenario Effects changes Slide 16

17 Simulation-based Resource Allocation Mr. Brown wants to find the best allocation formula in the long term. DSS 3. Reporting MIS Target value based OLAP sim results 4. Reporting configuration Performance indicators Interaction SibEUS 1. Formula configuration Allocationformula DWH Decisionmaker Financial results SD Simulation results 2. Model configuration Slide 17

18 Simulation-based Resource Allocation Selected target scenarios Different allocation formulas Slide 18

19 Decision-Makers in Higher Education Students if students make wrong decisions it (also) affects the university Lecturers administrative self management is not a core competence of lecturer Self Monitoring Dean increasing competition requires sophisticated incentives Exam Date Scheduling higher management Top Management Resource Allocation Slide 19

20 Decision-Makers in Higher Education Students if students make wrong decisions it (also) affects the university Lecturers administrative self management is not a core competence of lecturer Self Monitoring Dean increasing competition requires sophisticated incentives Exam Date Scheduling What s left? higher management Top Management Resource allocation Strategic Management Slide 20

21 Top Management Balanced Scorecard Drill through to detailed information Slide 21

22 Management Dashboards Top Management IT Administration HR Libraries Slide University of Osnabrück Faculties Senate

23 Decision-Makers in Higher Education Students if students make wrong decisions it (also) affects the university Lecturers administrative self management is not a core competence of lecturer Self Monitoring Dean increasing competition requires sophisticated incentives Exam Date Scheduling What s left? higher management Top Management Resource allocation Strategic Management Slide 23

24 Decision-Makers in Higher Education Slide University of Osnabrück

25 Lessons Learned Top down DWH design Bottom up roll out Early and continuous involvement of users Start with open-minded users (students) Easy to use interactive web-based user interface Top-level support necessary Be visionary and patient! Slide 25

26 Future City of DSS Extend the DWH Integrate the operational systems Business Process Optimization Sustainability Standardization Less PUSH more PULL! Slide 26

27 Thank you! Questions? Prof. Dr. Ing. Bodo Rieger osnabrueck.de Thomas Haarmann osnabrueck.de