Abstract: Embodiments of the present disclosure disclose methods and systems for generating operational alarms for a plurality of clients, the operational alarms being generated by a business performance system, each client being associated with a plurality of Key Performance Indicators (KPIs). An aggregate rank for each client based on ranks of each KPI is generated. For each client: the aggregate rank of the client over one or more time periods is monitored. If the aggregate rank deteriorates over the one or more time periods, a severity indicator is determined based on change of value of each KPI and change of rank of each KPI for the client over the one or more time periods. An operational alarm based on value of the severity indicator is determined. The operational alarm is displayed on a user interface, wherein the operational alarm displays one or more KPIs with highest severity values.

Abstract: Datasets relating time information to crime occurrences in the geographical regions are received. Time based crime patterns are extracted. Based on similarities among the crime patterns, the geographical regions are clustered. A selected time series dataset is augmented with a second time series dataset from the same cluster. Based on the augmented time series dataset, a new crime pattern is extracted. Based on the new crime pattern, a crime forecast is made for the selected geographical region.

Abstract: A method and a system are provided for auto-allocation of one or more tasks to one or more resources of an organization. The method includes receiving one or more requests from a requestor computing device associated with the organization over a communication network. The one or more requests may include at least one or more first attributes of the one or more tasks and one or more pre-defined constraints. The method further includes extracting one or more second attributes associated with the one or more resources based on at least the one or more first attributes of the one or more tasks. The method further includes determining an allocation of the one or more tasks to the one or more resources based on at least the one or more first attributes and the one or more second attributes, such that the one or more predefined constraints are satisfied.

Abstract: A method and system for visualizing a distributed ledger data structure and business and network transactions thereof can include identifying business transactions and assets in ledger data contained in a ledger data structure, and translating the identified business transactions and the identified assets into visual elements that can visually represent asset states in a process involving the ledger data structure and transactions thereof.

Abstract: Datasets relating time information to crime occurrences in the geographical regions are received. Time based crime patterns are extracted. Based on similarities among the crime patterns, the geographical regions are clustered. A selected time series dataset is augmented with a second time series dataset from the same cluster. Based on the augmented time series dataset, a new crime pattern is extracted. Based on the new crime pattern, a crime forecast is made for the selected geographical region.

Abstract: Crime information that corresponds to a set of crimes occurrences is gathered. This information is processed time series datasets associated with geographical regions. Based on the time series datasets, a target geographical region is grouped (clustered) with a set of other geographical regions. This clustering is based on statistical similarities among respective time series datasets. Operational information associated with the geographical regions is received. Based on the operational information, and the clustering, a recommended operational allocation is selected to be used in the target geographical region.

Abstract: The disclosed embodiments illustrate methods and systems for generating recommendations for client process execution of one or more client processes corresponding to a plurality of clients of an organization. The method comprises retrieving an event log including event data captured during execution of one or more processes in the organization to service a plurality of clients of a predefined type. The event log is analyzed across the plurality of clients to determine cross-clientele information including a process compliance deviation between an observed and an expected client process execution of the one or more processes. Thereafter, a set of root-causes of the process compliance deviation is determined based on process models of the one or more processes and/or decision rules of the organization. Further, one or more recommendations for the client process execution of the one or more processes of the organization are generated, based on the set of root-causes.

Abstract: The disclosed embodiments illustrate methods and systems for generating recommendations for client process execution of one or more client processes corresponding to a plurality of clients of an organization. The method comprises retrieving an event log including event data captured during execution of one or more processes in the organization to service a plurality of clients of a predefined type. The event log is analyzed across the plurality of clients to determine cross-clientele information including a process compliance deviation between an observed and an expected client process execution of the one or more processes. Thereafter, a set of root-causes of the process compliance deviation is determined based on process models of the one or more processes and/or decision rules of the organization. Further, one or more recommendations for the client process execution of the one or more processes of the organization are generated, based on the set of root-causes.

Abstract: A method and a system are provided for auto-allocation of one or more tasks to one or more resources of an organization. The method includes receiving one or more requests from a requestor computing device associated with the organization over a communication network. The one or more requests may include at least one or more first attributes of the one or more tasks and one or more pre-defined constraints. The method further includes extracting one or more second attributes associated with the one or more resources based on at least the one or more first attributes of the one or more tasks. The method further includes determining an allocation of the one or more tasks to the one or more resources based on at least the one or more first attributes and the one or more second attributes, such that the one or more predefined constraints are satisfied.

Abstract: Embodiments of the present disclosure disclose methods and systems for generating operational alarms for a plurality of clients, the operational alarms being generated by a business performance system, each client being associated with a plurality of Key Performance Indicators (KPIs). An aggregate rank for each client based on ranks of each KPI is generated. For each client: the aggregate rank of the client over one or more time periods is monitored. If the aggregate rank deteriorates over the one or more time periods, a severity indicator is determined based on change of value of each KPI and change of rank of each KPI for the client over the one or more time periods. An operational alarm based on value of the severity indicator is determined. The operational alarm is displayed on a user interface, wherein the operational alarm displays one or more KPIs with highest severity values.

Abstract: The disclosed embodiments illustrate methods and systems for selecting a crowd workforce for processing a task. The method includes receiving a request from a requestor to process the task. The method further includes generating a set of rules based on at least one or more attributes associated with the task. The method further includes selecting a first set of crowd workers, from one or more crowd workers, based on at least a triggering of one or more rules from the set of rules. The triggering of the one or more rules is based on at least a set of threshold values associated with the one or more crowd workers. The method further includes displaying a resource graph on a display screen of a requestor-computing device associated with a requestor, where the resource graph represents at least the first set of crowd workers.