Abstract: A new approach is proposed that contemplates systems and methods to detect patterns in at least one data stream. First, the at least one data stream is received and analyzed to detect an event in the least one data stream, wherein the detected event occurs in relation with an entity and includes at least one attribute indicative of at least one of an identity of the entity, an event type, and contact information for the entity. Once the event is detected and/or received from an external source, it is compared with a plurality of predefined patterns to determine if a match between the event and at least one of the predefined patterns is found. If a match is found successfully, a notification indicative of the entity and/or the event and the at least one predefined pattern that has been successfully matched with the event is generated and transmitted with instructions for actions by another application.