ABSTRACT
Time Variant data allows a data warehouse to join transactions of the enterprise to enterprise objects and their properties or attributes that were in effect at the time of the transaction. The ROI of this connection is cause and effect. Time Variant data in the “three bears data warehouse” will show that the “hot product” and “cold product” were rejected, while the “medium product” was accepted. The ability to track changes in price and customer responses to each price point individually can be achieved by the use of Time Variant data in a data warehouse. The Time Variant connection between enterprise objects and transactions allows a data warehouse user to query the data warehouse looking for all events associated with a specific manufacturing foreman. Time Variant data in a data warehouse allows an analyst to study these correlations based on the enterprise objects and their properties or attributes in effect at the moment of each individual transaction.
