A data warehouse (DW) is a database intended for reporting and analysis; it is used by an increasing number of higher education institutions to provide reports not easily generated in the enterprise resource planning (ERP) system (e.g., PeopleSoft, Banner, Datatel, etc.)
For operational staff and faculty, retrieving data from the DW can be equally, if not more, daunting than retrieving data from the ERP. The reason is simply that the DW focuses on aggregate student data, whereas the need of faculty and operational staff is tracking individual students.
Below are five (5) screen prints from a cross-section of data warehouses from the Web sites of several higher education institutions. DWs are generally technology-centric. Technology-centric are those DWs which focus on 1) the design/attributes of the DW, rather than the functionality/user interface and 2) require users to become technology-proficient in understanding table structures, table joins, and querying/programming.
Slide One (Focus of Data Archectiture, Not User Interface)
Slide Two: Users Must Understand/Join Tables
Slide Three: Requires Query, Table Joins and Other Skills
Slide Four: Requires Programming and Other Skills
Slide Five: Must Understand Operational Schemas