METHODS AND SYSTEMS FOR ANALYZING ENTITY PERFORMANCE

• US 20150169726A1
• Filed: 06/16/2014
• Published: 06/18/2015
• Est. Priority Date: 12/16/2013
• Status: Active Grant

• Current Assignee: Palantir Technologies Incorporated
• Original Assignee: Palantir Technologies Incorporated
• Inventors: KARA, Feridun Arda, BINGHAM, Eli, GARROD, John, ERENRICH, Daniel, MUKHERJEE, Anirvan, MABREY, Ted, ASH, Andrew, BUSH, Zachary, CAI, Allen, CHAI, Winnie, COHAN, Greg, DORSEY, Chris, DWYER, William, GRAY, Gilad, KELLEY, Sean, KWON, Dennis, LEWIS, Chris, MARTIN, Greg, MENON, Parvathy, NGO, Brian, OZYAR, Asli, REILLY, Mike, SCOTT, Jacob, SHANKAR, Ankit, SILLS, Matt, STAMATS, Spencer, STOWE, Geoff, TALWAR, Samir, URAL, Engin, VALEZ, PJ, WILKINS, Holt, WU, Diane, WULSIN, Drausin, WU, Di, CHEN, Joyce Yu-Hsin, KAYA, Bar
• Granted Patent: US 9,734,217 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/26 Visual data mining; Browsing structured data
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations

Abstract

Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes receiving a request with one or more filter selections and accessing a data structure comprising a plurality of categories of information showing interactions associated with multiple entities. The method also comprises identifying a set of categories of the plurality of categories within the data structure based on the one or more filter selections. The method further comprises processing the information of the identified categories to analyze a performance of one or more entities of the multiple entities in accordance with the one or more filter selections and providing the processed information to display the performance of the one or more entities on a user interface.

Claims

1. A system for analyzing entity performance, the system comprising:

a memory device that stores a set of instructions;

one or more processors configured to execute the set of instructions that cause the one or more processors to;

receive a request with one or more filter selections;

access a data structure comprising a plurality of categories of information showing interactions associated with multiple entities, wherein the set of categories includes location information associated with the multiple entities, and wherein the location information is based on a computed affinity score;

identify a set of categories of the plurality of categories within the data structure based on the one or more filter selections;

process the information of the identified categories to analyze a performance of one or more entities of the multiple entities in accordance with the one or more filter selections; and

provide the processed information to display the performance of the one or more entities on a user interface.

2. The system of claim 1, wherein a first entity of the one or more entities is a provisioning entity.

3. The system of claim 1, wherein the plurality of categories of the data structure include at least one of:

an interaction number category, a consuming entity identification category, a consuming entity location category, a provisioning entity identification category, a provisioning entity location category, a type of provisioning entity category, an interaction amount category, and a time of interaction category.

4. The system of claim 1, wherein the user interface includes one or more of:

a representation of a geographic region;

a representation of one or more locations of the one or more entities overlaid on the geographic region; and

a representation of sub-geographic regions overlaid on the geographic region.

5. The system of claim 1, wherein the one or more filter selections are mapped to one or more of the several categories of the data structure.

6. The system of claim 1, wherein the set of instructions further cause the one or more processors to analyze performance of a first entity or a first group of entities of the one or more entities, and a second entity or a second group of entities of the one or more entities.

7. A method for analyzing entity performance, the method being performed by one or more processors and comprising:

receiving a request with one or more filter selections;

accessing a data structure comprising a plurality of categories of information showing interactions associated with multiple entities;

identifying a set of categories of the plurality of categories within the data structure based on the one or more filter selections, wherein the set of categories includes location information associated with the multiple entities, and wherein the location information is based on a computed affinity score;

processing the information of the identified categories to analyze a performance of one or more entities of the multiple entities in accordance with the one or more filter selections; and

providing the processed information to display the performance of the one or more entities on a user interface.

8. The method of claim 7, wherein a first entity of the one or more entities is a provisioning entity.

9. The method of claim 7, wherein the plurality of categories of the data structure include at least one of:

an interaction number category, a consuming entity identification category, a consuming entity location category, a provisioning entity identification category, a provisioning entity location category, a type of provisioning entity category, an interaction amount category, and a time of interaction category.

10. The method of claim 7, wherein the user interface includes one or more of:

a representation of a geographic region;

a representation of one or more locations of the one or more entities overlaid on the geographic region; and

a representation of sub-geographic regions overlaid on the geographic region.

11. The method of claim 7, wherein the one or more filter selections are mapped to one or more of the several categories of the data structure.

12. The method of claim 7, wherein the one or more filter selections are associated with a particular user interface of a plurality of user interfaces, the particular user interface displays a representation associated with the one or more filter selections overlaid on a geographic region.

13. The method of claim 7, further comprising analyzing performance of a first entity or a first group of entities of the one or more entities, and a second entity or a second group of entities of the one or more entities.

14. A non-transitory computer-readable medium storing a set of instructions that are executable by one or more processors of one or more servers to cause the one or more servers to perform a method for discovering application compatibility status, the method comprising:

receiving a request with one or more filter selections;

accessing a data structure comprising a plurality of categories of information showing interactions associated with multiple entities;

identifying a set of categories of the plurality of categories within the data structure based on the one or more filter selections, wherein the set of categories includes location information associated with the multiple entities, and wherein the location information is based on a computed affinity score;

processing the information of the identified categories to analyze a performance of one or more entities of the multiple entities in accordance with the one or more filter selections; and

providing the processed information to display the performance of the one or more entities on a user interface.

15. The computer-readable medium of claim 14, wherein a first entity of the one or more entities is a provisioning entity.

16. The computer-readable medium of claim 14, wherein the plurality of categories of the data structure include at least one of:

an interaction number category, a consuming entity identification category, a consuming entity location category, a provisioning entity identification category, a provisioning entity location category, a type of provisioning entity category, an interaction amount category, and a time of interaction category.

17. The computer-readable medium of claim 14, wherein the user interface includes one or more of:

a representation of a geographic region;

a representation of one or more locations of the one or more entities overlaid on the geographic region; and

a representation of sub-geographic regions overlaid on the geographic region.

18. The computer-readable medium of claim 14, wherein the one or more filter selections are mapped to one or more of the several categories of the data structure.

19. The computer-readable medium of claim 14, wherein the one or more filter selections are associated with a particular user interface of a plurality of user interfaces, the particular user interface displays a representation associated with the one or more filter selections overlaid on a geographic region.

20. The computer-readable medium of claim 14, wherein the instructions further cause the one or more servers to analyze performance of a first entity or a first group of entities of the one or more entities, and a second entity or a second group of entities of the one or more entities.