Abstract: A method of analyzing the performance of a query optimizer includes identifying an event trigger. A reproduction object characterizing operational parameters of the customer computer at the time of the event trigger is populated. The reproduction object is transported from the customer computer to a test computer. The reproduction object is analyzed at the test computer to characterize the performance of a query optimizer.

Abstract: A method of analyzing the performance of a query optimizer includes identifying an event trigger. A reproduction object characterizing operational parameters of the customer computer at the time of the event trigger is populated. The reproduction object is transported from the customer computer to a test computer. The reproduction object is analyzed at the test computer to characterize the performance of a query optimizer.

Abstract: A method of analyzing the performance of a query optimizer includes identifying an event trigger. A reproduction object characterizing operational parameters of the customer computer at the time of the event trigger is populated. The reproduction object is transported from the customer computer to a test computer. The reproduction object is analyzed at the test computer to characterize the performance of a query optimizer.

Abstract: A system, program product, and methods related to enhanced medical services delivery to geographically distributed patient populations by remotely located physicians are provided. An embodiment of the system includes a remote medical services server, a plurality of patient electronic medical records stored in the memory of the remote medical services server, and a remote medical services program product stored in the memory of the remote medical services server adapted to access the plurality of patient electronic medical records to thereby allow display of and data entry in a selected patient electronic medical record. A patient medical service delivery station captures patient video images and displays remote physician video images.

Abstract: Methods and apparatuses for computing a variance between two business metrics is described. In one embodiment, the method computes a variance for each of a first set of activities based on the corresponding reference state of that activity, wherein the variance for an activity is the change in contribution for that activity between the first and second business metrics and with each of the first set of activities having a reference value. Furthermore, the method computes a variance for each of a second set of activities based on the corresponding start and end values of that activity with each of the second set of activities having a start and end value.

Abstract: Methods and apparatuses for computing a variance for the difference between two business metrics. In one embodiment, the method accesses a response model and a plurality of activities with start and end values for each of the plurality of activities. Furthermore, the method computes a variance for the difference between the first and second business metrics for each of the plurality of activities using the response model by setting that activity to one of the corresponding starting and ending values and setting others of the plurality of activities to the value state opposite of that activity, wherein the variance for an activity is the change in contribution for that activity between the start and end sales volumes.

Abstract: Methods and apparatuses for decomposing a business metric based on a plurality of activities and a response model are described. In one embodiment, the method accesses the response model and the plurality of activities, the plurality of activities each having a reference and executed value. The method computes a contribution to the business metric based on setting one of the plurality of activities to one of the corresponding reference and executed value and setting the other activities to the value state opposite of that activity. Furthermore, the method computes each of the contributions independent of the response model type.

Abstract: A system, program product, and methods related to enhanced medical services delivery to geographically distributed patient populations by remotely located physicians are provided. An embodiment of the system includes a remote medical services server, a plurality of patient electronic medical records stored in the memory of the remote medical services server, and a remote medical services program product stored in the memory of the remote medical services server adapted to access the plurality of patient electronic medical records to thereby allow display of and data entry in a selected patient electronic medical record. A patient medical service delivery station captures patient video images and displays remote physician video images.

Abstract: A method of analyzing the performance of a query optimizer includes identifying an event trigger. A reproduction object characterizing operational parameters of the customer computer at the time of the event trigger is populated. The reproduction object is transported from the customer computer to a test computer. The reproduction object is analyzed at the test computer to characterize the performance of a query optimizer.

Abstract: A system, program product, and methods related to enhanced medical services delivery to geographically distributed patient populations by remotely located physicians are provided. An embodiment of the system includes a remote medical services server, a plurality of patient electronic medical records stored in the memory of the remote medical services server, and a remote medical services program product stored in the memory of the remote medical services server adapted to access the plurality of patient electronic medical records to thereby allow display of and data entry in a selected patient electronic medical record. A patient medical service delivery station captures patient video images and displays remote physician video images.

Abstract: Methods and apparatuses for computing a variance for the difference between two business metrics. In one embodiment, the method accesses a response model and a plurality of activities with start and end values for each of the plurality of activities. Furthermore, the method computes a variance for the difference between the first and second business metrics for each of the plurality of activities using the response model by setting that activity to one of the corresponding starting and ending values and setting others of the plurality of activities to the value state opposite of that activity, wherein the variance for an activity is the change in contribution for that activity between the start and end sales volumes.

Abstract: Methods and apparatuses for decomposing a business metric based on a plurality of activities and a response model are described. In one embodiment, the method accesses the response model and the plurality of activities, the plurality of activities each having a reference and executed value. The method computes a contribution to the business metric based on setting one of the plurality of activities to one of the corresponding reference and executed value and setting the other activities to the value state opposite of that activity. Furthermore, the method computes each of the contributions independent of the response model type.

Abstract: Methods and apparatuses for computing a variance between two business metrics is described. In one embodiment, the method computes a variance for each of a first set of activities based on the corresponding reference state of that activity, wherein the variance for an activity is the change in contribution for that activity between the first and second business metrics and with each of the first set of activities having a reference value. Furthermore, the method computes a variance for each of a second set of activities based on the corresponding start and end values of that activity with each of the second set of activities having a start and end value.

Abstract: Methods and apparatuses for computing an atomic decomposition level and a set of different decomposition levels based on the atomic decomposition level for a business metric are described. In one embodiment, the method accesses a response model and a first plurality of activities that are used to compute an atomic decomposition level. The atomic decomposition level is a base level of the set of different decomposition levels using different pluralities of activities. Furthermore, the set of different decompositions is consistent with the atomic decomposition level.

Abstract: Methods and apparatuses for predicting set of multi-dimensional dependent data and non-measurable data from a set of multi-dimensional historical dependent and causal data are described. In one embodiment, the method comprises receiving input data that comprises multi-dimensional historical dependent data and causal data and anticipated activity data, determining a set of multi-dimensional predicted dependent data using a predictive model and the input data, creating non-measurable data based on the set of multi-dimensional predicted dependent data and the input data.

Abstract: A system, program product, and methods related to enhanced medical services delivery to geographically distributed patient populations by remotely located physicians are provided. An embodiment of the system includes a remote medical services server, a plurality of patient electronic medical records stored in the memory of the remote medical services server, and a remote medical services program product stored in the memory of the remote medical services server adapted to access the plurality of patient electronic medical records to thereby allow display of and data entry in a selected patient electronic medical record. A patient medical service delivery station captures patient video images and displays remote physician video images.