An Introduction to the Data Warehouse

  •    The warehouse design is based on Ralf Kimball’s data model
    • The Kimball model includes both dimensions and facts
    • The model revolves around numbers (facts)
    • The dimensions describe the facts
    • A dimensional model is optimized for reporting (queries)
  • The warehouse is a “snapshot in time” of Banner data and other non-Banner data sources
    • example:  4th week data
  • Cognos is the reporting tool that is used to pull the data from the warehouse
    • Converted as PDF and printed
    • Saved as Excel file
    • e-mailed to your inbox

  • Facts (also referred to as cubes):
    • contains the data corresponding to a particular business process, action or event; typically numeric (links two or more dimensions together)
    • example of a fact: registration(credit hours, grades, quality points)
  • Dimensions:
    • contains details about each instance of an fact  (descriptors)
    • examples of dimensions: academic year, academic period, entity(last name, first name), section(course title, course number, crn, section term code)



  • The Data Warehouse was placed into production on June 2, 2014.
  • The warehouse includes 108,702,145 rows of data from Banner Finance, Student and Human Resources and Financial Aid
  • Reporting includes pre-built and ad-hoc queries.
    • Pre built reports will include parameters that you will respond to at run time
    • Ad-hoc queries will give you the ability to have full control of the report
  • The data is refreshed on a nightly basis.
  • # of Dimensions ………………………….72
  • # of Cubes ………………………………….56
  • # of data elements (columns) …..2,666


For access to the data warehouse, contact Faye Whitenack at

For Cognos Warehouse training, contact Max Chartier at


Comments are closed.