6. A system for identifying sourcing event metrics for analyzing a supplier, comprising: a consumer computing device for identifying a sourcing event and for querying potential suppliers, the consumer computing device operable to select a first previously created sourcing event and a second previously created sourcing event, wherein two or more predefined metrics are associated with the first previously created sourcing event; a database for storing two or more predefined metrics associated with new sourcing event; a metric identification engine of the consumer computing device for populating a new sourcing event with the predefined metrics, each predefined metric operable to trigger a response from a potential supplier, and the second previously created sourcing event, wherein the second previously created sourcing event is used as a predefined metric of the first previously created sourcing event, the metric identification engine of the consumer computing device further programmed to: determine a weighting factor predefined for one or more of the predefined metrics, for each predefined metric having a fixed set of possible responses, determine a points value predefined for one or more possible response, provide a comment field and receive comments related to a metric from the supplier; for each predefined metric providing for the comment field, assign a points value to one or more keywords appearing in the comment field before receiving a response to the new sourcing event, redefine a points value for one or more of the predefined metrics; and a metric evaluation engine of the consumer computing device for determining whether previously obtained data associated with the predefined metrics exists for each of a plurality of potential suppliers, and for each potential supplier: pre-populate a response field associated with each of the predefined metrics where previously obtained data exists for that predefined metric, query the potential supplier for response data associated with the predefined metrics, received a second set of response data in response to the query, determine the points values earned for each of the predefined metrics based upon the response data, multiply the points values for each of the predefined metrics by the weighting factor for the respective predefined metric to generate a weighted points value for each predefined metric, sum the weighted points values to generate an overall point total, and rank each supplier based on the overall point total and displaying the ranking to a user, whereby the user is able to select a supplier based on the rank.
6. A system for identifying sourcing event metrics for analyzing a supplier, comprising: a consumer computing device for identifying a sourcing event and for querying potential suppliers, the consumer computing device operable to select a first previously created sourcing event and a second previously created sourcing event, wherein two or more predefined metrics are associated with the first previously created sourcing event; a database for storing two or more predefined metrics associated with new sourcing event; a metric identification engine of the consumer computing device for populating a new sourcing event with the predefined metrics, each predefined metric operable to trigger a response from a potential supplier, and the second previously created sourcing event, wherein the second previously created sourcing event is used as a predefined metric of the first previously created sourcing event, the metric identification engine of the consumer computing device further programmed to: determine a weighting factor predefined for one or more of the predefined metrics, for each predefined metric having a fixed set of possible responses, determine a points value predefined for one or more possible response, provide a comment field and receive comments related to a metric from the supplier; for each predefined metric providing for the comment field, assign a points value to one or more keywords appearing in the comment field before receiving a response to the new sourcing event, redefine a points value for one or more of the predefined metrics; and a metric evaluation engine of the consumer computing device for determining whether previously obtained data associated with the predefined metrics exists for each of a plurality of potential suppliers, and for each potential supplier: pre-populate a response field associated with each of the predefined metrics where previously obtained data exists for that predefined metric, query the potential supplier for response data associated with the predefined metrics, received a second set of response data in response to the query, determine the points values earned for each of the predefined metrics based upon the response data, multiply the points values for each of the predefined metrics by the weighting factor for the respective predefined metric to generate a weighted points value for each predefined metric, sum the weighted points values to generate an overall point total, and rank each supplier based on the overall point total and displaying the ranking to a user, whereby the user is able to select a supplier based on the rank. 7. The system of claim 6 , wherein determining the weighting factor includes accepting a weighting factor predefined for one or more of the predefined metrics.