Abstract: The disclosure herein describes generating and presenting a benchmark to a target entity. A peer group of entities associated with the target entity is determined based on at least one attribute of the target entity. Behavior data of the target entity and behavior data of the entities of the peer group is identified and the behavior data of the entities of the peer group is transformed using adjustment values, wherein the transformed behavior data differs from corresponding behavior data of the entities of the peer group by less than an accuracy threshold. Benchmark data of the benchmark associated with the behavior category is generated based on the behavior data associated with the target entity and the transformed behavior data associated with the entities of the peer group and the benchmark data of the benchmark is presented as a benchmark visualization via a user interface.

Abstract: A system and method for determining enterprise metrics of an enterprise application is described. The system receives a root cause definition that identifies enterprise user metrics and predefined parameters for the enterprise user metrics. The enterprise user metrics identify operation metrics of the enterprise application by users of the enterprise. The system stores the root cause definition in a library of root causes definitions. The system receives a selection of a plan that identifies an operation attribute of the enterprise application. The system identifies a root cause from the library of root causes definitions based on the plan. The system generates a recommendation based on the identified root cause.

Abstract: A system and method for configuring an application is described. A mapping definition defines a mapping between a first level attribute, a second level attribute, and a third level attribute of the application. The first level attribute indicates a goal of an operation of the application. The second level attribute indicates a factor that contributes to the goal. The third level attribute indicating a metric associated with the factor. The system accesses metrics that measure of operations of the application by a plurality of user accounts. A graphical user interface is generated for the first level attribute and displays the metric from the third level attribute that is mapped to the second level attribute for a set of user accounts from the plurality of user accounts based on the mapping definition. The system generates a configuration setting for the application of the set of user accounts based on the metric of the third level attribute.

Abstract: A system and method for determining enterprise metrics of an enterprise application is described. The system receives a root cause definition that identifies enterprise user metrics and predefined parameters for the enterprise user metrics. The enterprise user metrics identify operation metrics of the enterprise application by users of the enterprise. The system stores the root cause definition in a library of root causes definitions. The system receives a selection of a plan that identifies an operation attribute of the enterprise application. The system identifies a root cause from the library of root causes definitions based on the plan. The system generates a recommendation based on the identified root cause.

Abstract: A threat modeling application generates threats to a business application. The threat modeling application receives user input associated with business application data. The input may be received through an interface provided by the threat modeling application. Threats are automatically generated from the received data and an attack library. The attack library includes information regarding attacks and related countermeasures. By automatically generating threats based on business application information, the threat modeling application can generate security threats consistently and objectively.

Abstract: A threat modeling application generates threats to a business application. The threat modeling application receives user input associated with business application data. The input may be received through an interface provided by the threat modeling application. Threats are automatically generated from the received data and an attack library. The attack library includes information regarding attacks and related countermeasures. By automatically generating threats based on business application information, the threat modeling application can generate security threats consistently and objectively.