System and method for enhanced data analytics and presentation thereof
AssigneePointillist, Inc.
InventorsWill Thiel, Francois Silvain, Tatiana Thomas
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Abstract
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.
Claims5
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.
Dependencies are inferred from the claim text.