System and method for enhanced data analytics and presentation thereof
Systems and methods for enhanced data analytics and presentation therefore are provided herein. In particular, systems and methods for graphically constructing a query for processing event-based data and identifying connections between two or more events, systems and methods for processing event-based data and identifying drivers in real-time across event-based data, and systems and methods for optimizing drivers for implementing actor encounters for achieving an objective.
1. A system for graphically constructing a query for processing event data and identifying connections between two or more events, the system comprising:
at least one user interface comprising a canvas and a data component module, wherein the data component module comprises at least one of a search engine or a browsable hierarchy;
at least one data repository comprising a plurality of events characterized by at least a timestamp, an event type, and at least one actor; and
at least one processor;
wherein the at least one user interface is configured to accept first event criteria of a first event and to communicate with the at least one data module to list the event data related to the first event criteria;
wherein upon acceptance of the first event criteria, the at least one user interface is further configured to accept placement of the first event onto the canvas;
wherein the at least one user interface is further configured to accept second event criteria of a second event and to communicate with the at least one processor to list the event data related to the second event criteria;
wherein upon acceptance of the second event criteria, at least one user interface is further configured to accept placement of the second event onto the canvas;
wherein the at least one processor is configured to, upon the placement of the second event onto the canvas, generate a plurality of possible connections between the first event and the second event and to output the plurality of possible connections, wherein each of the plurality of possible connections comprises a link between two events specifying at least one shared actor and a time relationship between the two events,
wherein the at least one processor is further configured to list the event data related to the first event criteria or the second event criteria according to historical user entries and selections,
wherein the at least one processor is further configured to generate the plurality of possible connections between the first event and the second event according to the historical user entries and selections,
wherein the at least one processor is further configured to rank the plurality of possible connections according to the historical user entries and selections;
wherein, when there exists no shared actor between the first event and the second event, the at least one user interface displays the first event and the second event as independent of each other;
wherein the at least one processor is further configured to derive a plurality of story metrics according to the events, the at least one actor, and the connections between the events;
wherein the at least one processor is further configured to generate a story and select a connection, wherein, upon the generation of the story, the at least one processor in communication with the at least one user interface is further configured to generate a graphical representation of story metrics associated with the selected connection;
wherein the at least one processor is further configured to identify recommended additions to the query according to at least one user input, where the recommended additions include at least one of an event type, at least one common actor, at least one actor state, and a chronological relationship between all events; and
wherein the at least one processor, in communication with the at least one user interface, generates a list of the recommended additions ordered by relevance according to a chronological relationship between all events or actors shared by all events.
2. The system of claim 1 , wherein, upon the selection of at least one of the plurality of possible connections via the at least one user interface, the at least one processor generates an associated story pursuant to the selection and displays a graphical representation of the associated story, wherein the user interface is further configured to zoom into the canvas, wherein the zooming is a function of at least one of a plurality of sliders comprising a frequency of the actor in the story, a time in the story, or a depth in the story, wherein each story is a pattern representing a plurality of events related via shared connections.
3. The system of claim 1 , wherein the at least one processor is further configured to select a root event from the first event and the second event.
4. The system of claim 3 , wherein either the first event or the second event, depending on which occurs latest in time, is automatically selected as the root event.
5. The system of claim 3 ,
wherein the root event serves as a reference by which all story metrics will be aggregated;
wherein the root event serves as a chronological reference by which all relative time relationships between story events will be anchored and all story metrics will be aggregated; and
wherein the story metrics comprise flow, contribution rate, conversion rate, and dropout rate.