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Incorporating Texas Higher Education Coordinating Board Data in an Institutional Data Warehouse. Dr. David Wierschem Jeremy McMillen Dr. Randy McBroom. Drivers for Building a Coordinating Board Data Warehouse. Outcomes Assessment Climate Accountability from Legislators - PowerPoint PPT Presentation
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Incorporating Texas Higher Education Coordinating Board
Data in an Institutional Data Warehouse
Dr. David WierschemJeremy McMillenDr. Randy McBroom
Drivers for Building a Coordinating Board Data Warehouse
Outcomes Assessment Climate Accountability from Legislators THECB Data is used for funding purposes Could use for strategic management
What is a Data Warehouse?
A data warehouse is a subject oriented, integrated, non-volatile, and time variant collection of data in support of management decisions (Inmon, 1996).
Takes a ‘snapshot’ in time to provide for a consistent data source, which is often difficult to accomplish off of an operational system.
THECB Data establishes a historical source of data that has already gone through data cleansing.
What Information is in THECB Data? Student Information (001 – Fall, Spring & Summer) TASP Data (002 – Fall, Spring, Sum I & Sum II) Course Information (004 – Fall, Spring & Summer) University Room Use (005 – Fall) End of Semester Report (006 – Fall, Spring &
Summer) Faculty Data (008 – Fall & Spring) Graduating Student Report (009 -- Fall) Admissions Information (00B, Fall)
Why a Data Warehouse? Allow easy access to data from a variety of
sources and platforms with relatively easy integration
Control for the discrepancies in data by migrating the management information system (or data warehouse) from a dynamic data store (operational/ transactional) to a static data store
Being able to conduct extensive data mining. Allows for integration with other data sources for
more complex analysis.
Integration Iterative issues of submissions/
resubmissions could be reduced; thereby improving the quality and timeliness of data submissions.
Strategic utilization of THECB data could be enhanced if the timeline were reduced.
Building relational databases to allow for expansion of knowledge about reported data.
Data Warehouse Development Methodology – System Development Life Cycle
InitialOrganization
Analysis Design
Develop ment
Testing Implementation Maintenance
Contacts David Wierschem, Assistant Professor of Management Information Systems
[email protected](903)886-5923
Jeremy McMillen, Director of Institutional [email protected](903)886-5509
Randy McBroom, Assistant to the President for Planning and Institutional [email protected](903)886-5926
Texas A&M University-CommerceP.O. Box 3011Commerce, TX 75429-3011