METHODS AND SYSTEMS FOR COLLECTING AND ANALYZING ENTERPRISE ACTIVITIES

• US 20110087516A1
• Filed: 10/06/2010
• Published: 04/14/2011
• Est. Priority Date: 10/12/2009
• Status: Active Grant

• Current Assignee: Oracle International Corporation (Oracle Corporation)
• Original Assignee: Oracle International Corporation (Oracle Corporation)
• Inventors: Richards, Michael, Frieden, Kurt, Rudominer, Mitch
• Granted Patent: US 9,659,265 B2
• Time in Patent Office: Days
• US Class Current: 705/7.26
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/06316 Sequencing of tasks or work

Abstract

Various systems and methods are described for gathering events and analyzing the events and nodes associated with the events. Various arrangements may include receiving events from one or more applications. An event may include two nodes and an action. These events may be stored and processed to determine relations between nodes. These relations may then be processed to determine the similarity between nodes. Further, the nodes may be ranked according to the importance of the nodes as compared with each other.

Claims

1. A method for analyzing a plurality of nodes of an enterprise, comprising:

receiving, by a computer system, a first event from a first application, wherein the first event indicates a first source node, a first target node, and a first action performed involving the first source node and the first target node;

storing, by the computer system, the first event,

receiving, by the computer system, a second event from a second application, wherein the second event indicates a second source node, a second target node, and a second action performed involving the second source node and the second target node;

storing, by the computer system, the second event, wherein;

the first event and the second event are part of a plurality of events stored by the computer system; and

the first source node, the first target node, the second source node, and the second target node are part of the plurality of nodes of the enterprise;

processing, by the computer system, at least a subset of the plurality of events received by the computer system to create a plurality of relations;

processing, by a first engine of the computer system, at least the subset of the plurality of relations to calculate a plurality of similarity values, wherein each similarity value of the plurality of similarity values is associated with a pair of nodes of the plurality of nodes; and

processing, by a second engine of the computer system, at least a subset of the plurality of relations to calculate a rank of each node of at least the subset of the plurality of nodes, wherein the rank ranks importance of each node of at least the subset of the plurality of nodes compared to each other node of at least the subset of the plurality of nodes.

2. The method of claim 1, wherein the plurality of nodes comprise users and items.

3. The method of claim 1, wherein each relation of at least a subset of the plurality of relations is based on one or more actions performed involving the same node.

4. The method of claim 1, further comprising:

receiving a request for a node similar to the first target node, wherein the request comprises an identifier of the first node; and

ordering, by the computer system, a list of results of nodes using at least a subset of the plurality of similarity values calculated by the first engine.

5. The method of claim 4, further comprising filtering, by the computer system, the list of results based on at least one node class.

6. The method of claim 4, further comprising filtering, by the computer system, the list of results based upon at least one action.

7. The method of claim 4, further comprising filtering, by the computer system, the list of results based upon an attribute required to be present for each node on the list of results.

8. A computer program product stored on a computer-readable storage medium for analyzing a plurality of nodes of an enterprise, comprising instructions for:

receiving a first event from a first application, wherein the first event indicates a first source node, a first target node, and a first action performed involving the first source node and the first target node;

receiving a second event from a second application, wherein;

the second event indicates a second source node, a second target node, and a second action performed involving the second source node and the second target node;

the first event and the second event are part of a plurality of events; and

the first source node, the first target node, the second source node, and the second target node are part of the plurality of nodes of the enterprise;

processing the plurality of events received by the computer system to create a plurality of relations; and

processing the plurality of relations to calculate a plurality of similarity values, wherein each similarity value is associated with a pair of nodes.

9. The computer program product of claim 8, wherein the first source node and the second source node are the same node.

10. The computer program products of claim 8, further comprising:

receiving a request for a similar node to the first source node, wherein the request comprises an identifier of the first node; and

ordering a list of results of nodes using at least a subset of the plurality of similarity values.

11. The computer program product of claim 10, wherein the instructions further comprise instructions for processing at least a subset of the plurality of relations to calculate a rank of each node of at least a subset of the plurality of nodes.

12. The computer program product of claim 11, wherein ordering the list of results of nodes using at least the subset of the plurality of similarity values further comprises using the rank of each node of at least the subset of the plurality of nodes.

13. The method of claim 8, wherein the plurality of nodes comprise users and items.

14. The computer program product of claim 10, wherein the instructions further comprise filtering the list of results based upon at least one action.

15. A system for analyzing a plurality of nodes of an enterprise, comprising:

an event store, comprising a computer-readable storage device, for;

receiving a first event from a first application, wherein the first event indicates a first source node, a first target node, and a first action performed involving the first source node and the first target node; and

receiving a second event from a second application, wherein;

the second event indicates a second source node, a second target node, and a second action performed involving the second source node and the second target node;

the first event and the second event are part of a plurality of events; and

the first source node, the first target node, the second source node, and the second target node are part of the plurality of nodes of the enterprise;

a first module for processing the plurality of events received by the computer system to create a plurality of relations;

a relation store, comprising a computer-readable storage device, for storing the plurality of relations; and

a second module for processing the plurality of relations to calculate a plurality of similarity values, wherein each similarity value is associated with a pair of nodes.

16. The system of claim 15, further comprising:

a third module configured to receive a request for a similar node to a first node, wherein the request comprises an identifier of the first node; and

a fourth module configured to order a list of results of nodes using at least a subset of the plurality of similarity values.

17. The system of claim 15, further comprising a third module to process the plurality of nodes to calculate a rank of each node of the plurality of nodes.

18. The system of claim 17, further comprising a fourth module to order the list of results of nodes using at least the subset of the plurality of similarity values further comprises using the rank of each node of at least the subset of the plurality of nodes.

19. The system of claim 15, wherein the plurality of nodes comprise users and items.

20. The system of claim 15, wherein the second module for processing the plurality of relations to calculate a plurality of similarity values utilizes a similarity function to compare vectors associated with at least a subset of the plurality of nodes, wherein the vectors are created using at least a subset of the plurality of relations.