Abstract: The disclosure relates generally to information technology (IT) production service support metrics and, more particularly, to analysis of the IT production service support metrics. The method includes receiving a plurality of metrics of an IT service management system and obtaining a causal loop diagram for the IT service management system. Subsequently, determining one or more deviant metrics from the plurality of metrics and obtaining associated CLD variable. Further, determining first set of metrics that affect the deviant metric and second set of metrics that may get affected. Subsequently, iteratively performing factor analysis on first set of metrics and second set of metrics to determine cogent factor for the deviation in the deviant metrics.

Abstract: Systems and methods for optimizing allocation of configuration elements in a service engagement. A plurality of Service Level Agreements (SLAs) corresponding to a service engagement is received. A Service Level Agreement (SLA) of the plurality of Service Level Agreements (SLAs) includes a plurality of configuration elements and a plurality of SLA compliances. A model is created by allocating a subset of the plurality of configuration elements to meet the SLA. The model is simulated to verify the plurality of SLA compliances being met by the subset allotted. Based on the simulation, a time series data indicating behavior of the model is obtained. The model is optimized to obtain an optimal allocation of the plurality of configuration elements. The model is optimized by allocating another subset of the plurality of configuration elements to meet the SLA.

Abstract: The disclosure relates generally to information technology (IT) production service support metrics and, more particularly, to analysis of the IT production service support metrics. The method includes receiving a plurality of metrics of an IT service management system and obtaining a causal loop diagram for the IT service management system. Subsequently, determining one or more deviant metrics from the plurality of metrics and obtaining associated CLD variable. Further, determining first set of metrics that affect the deviant metric and second set of metrics that may get affected. Subsequently, iteratively performing factor analysis on first set of metrics and second set of metrics to determine cogent factor for the deviation in the deviant metrics.

Abstract: Systems and methods for optimizing allocation of configuration elements in a service engagement. A plurality of Service Level Agreements (SLAs) corresponding to a service engagement is received. A Service Level Agreement (SLA) of the plurality of Service Level Agreements (SLAs) includes a plurality of configuration elements and a plurality of SLA compliances. A model is created by allocating a subset of the plurality of configuration elements to meet the SLA. The model is simulated to verify the plurality of SLA compliances being met by the subset allotted. Based on the simulation, a time series data indicating behavior of the model is obtained. The model is optimized to obtain an optimal allocation of the plurality of configuration elements. The model is optimized by allocating another subset of the plurality of configuration elements to meet the SLA.