Abstract: The present invention provides a method and system for end-to-end process execution. The method includes generating a model for a business process to be executed, wherein the business process comprises a first type of activity and a second type of activity. On initiation of a business process instance of the business process, the first type of activity is executed by a business process engine. Further, the second type of activity is dynamically assigned to a first user for execution on an application external to the business process engine based on a set of predefined factors, provided the second type of activity is a manual activity. The method further includes monitoring execution of the second type of activity by the business process engine and displaying status of each activity in the business process instance to a second user.

Abstract: The invention allows at least one business process to execute in at least one application while the same is monitored the progress in non-intrusive manner. The various embodiments of the present invention provide a method and system to monitor the business transactions in process unaware systems non-intrusively. The activities occurring in a business process are set up using a business model. The events in the business process are identified based set of application data of a plurality of applications associated with the business process. The identified events are mapped to activities and the activities are mapped to process instances based on predefined mapping rules. Key performance indicators are set for each of the activities in the business process. At least one subsequent activity to be completed for the process instance is determined. An alert is created when KPI violation occurs with respect to the completed activity.

Abstract: A system and method for extracting process sequences from application data is provided. The method includes extracting process sequences from one or more applications' historical data in a non-intrusive manner. Firstly, data events in application data sources are read and then mapped to business activities. While reading the data events, a correlation identifier is identified which is later used to correlate business activities to create the process instance sequences. The system and method may be used to extract process sequences of multiple processes simultaneously. Process sequences may further be used for the purpose of mining processes from legacy systems for compliance checking solutions and for identifying how individual process instances are executed.

Abstract: The present invention provides a method, system and computer program product for optimizing business processes in an organization. Each business process to be optimized is characterized by one or more performance indicators. One or more process characteristics are identified corresponding to each of the performance indicators. For each of the process characteristics, at least one transformation pattern is identified. Thereafter, one or more transformation patterns are selected from the identified transformation patterns, for optimizing the process characteristics, and thereby optimizing the business processes.