Systems and method for integration of business analytics and business networking

• US 9,395,883 B1
• Filed: 03/15/2013
• Issued: 07/19/2016
• Est. Priority Date: 08/29/2011
• Status: Expired due to Fees

• Current Assignee: Anametrix, Inc. (Cheq Technologies Ltd.)
• Original Assignee: Anametrix, Inc. (Cheq Technologies Ltd.)
• Inventors: Mikhaylov, Sergey, Francis, Corey, Olsson, Anders, Jugai, Roman, Jonsson, Andreas
• Primary Examiner(s): Keaton, Sherrod
• Application Number:
  US13/844,040
• Time in Patent Office: 1,222 Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 9/542 Event management; Broadcasting; Multicasting; Notifications
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Systems and methods to provide social analytics information are disclosed. An exemplary system may include a database and a server coupled to the database. The server may include a business analytics module configured to receive data related to a business and generate, based on the received data, a set of business analytics information, and store the business analytics information in the database. The server further may include an interactive display module configured to generate an interactive object based on the business analytics information, provide controlled access to the interactive object to a first user of a predefined group of users, and provide a display of the interactive object to a second user of the predefined group of users. The interactive display module may be further configured to update, responsive to an input from the first user, the interactive object so as to generate an updated interactive object, and provide, responsive to the updating, a display of the updated interactive object to the second user.

Claims

1. A method for providing social analytics information, comprising:

receiving, by a computing device, a request to create a predictive alert based on one or more variables of web analytics data for a website, wherein the request to create the predictive alert includes a request to provide the predictive alert on a flow of a first user of a social analytics system;

monitoring the one or more variables of the web analytics data for the website;

determining, based on the monitoring the one or more variables of the web analytics data for the website, a prediction of when the one or more variables are predicted to meet one or more required conditions of the predictive alert;

providing the predictive alert on the flow of the first user of the social analytics system, wherein the predictive alert on the flow of the first user of the social analytics system includes an interface option to subscribe to the predictive alert;

receiving, from a device of a second user of the social analytics system, via the interface option to subscribe to the predictive alert, a different request to provide the predictive alert on a flow of the second user of the social analytics system; and

providing the predictive alert on the flow of the second user of the social analytics system.

2. The method of claim 1, comprising:

providing the predictive alert to a device of the first user by email.

3. The method of claim 1, comprising:

providing the predictive alert to a device of the first user by a cellular phone message.

4. The method of claim 3, wherein the cellular phone message is a text message.

5. The method of claim 3, wherein the cellular phone message is a voice message.

6. The method of claim 1, wherein the web analytics data comprises one or more of results of an advertising campaign, a number of hits on the website, inventory information, and sales information.

7. The method of claim 1, comprising:

receiving, in the request to create the predictive alert, a selection of whether the predictive alert should be shared to a flow of a different user.

8. The method of claim 7, wherein receiving, in the request to create the predictive alert, the selection of whether the predictive alert should be shared to the flow of the different user comprises receiving a selection of a group that the predictive alert is to be shared with, wherein the different user is a member of the group.

9. The method of claim 1, comprising:

receiving, in the request to create the predictive alert, an indication of how frequently the monitoring should occur,

wherein the monitoring the one or more variables of the web analytics data for the website is performed according to the indication of how frequently the monitoring should occur.

10. The method of claim 1, wherein receiving the request to create the predictive alert comprises receiving, from an add-on to a spreadsheet application, the request to create the predictive alert.

11. The method of claim 1, comprising:

generating a graph of the web analytics data for the website; and

posting the graph of the web analytics data for the website to the flow of the first user based on monitoring the one or more variables of the web analytics data for the website.

12. The method of claim 1, comprising:

receiving, via a comment interface of the social analytics system, a comment on the predictive alert on the flow of the first user of the social analytics system, wherein the comment on the predictive alert comprises a link that, when activated, provides access to a different document related to the web analytics data for the website.

13. A system comprising:

one or more processors; and

a non-transitory memory storing executable instructions that, when executed by the one or more processors, cause the system to;

receive a request to create a predictive alert based on one or more variables of web analytics data for a website, wherein the request to create the predictive alert includes a request to provide the predictive alert on a flow of a first user of a social analytics system;

monitor the one or more variables of the web analytics data for the website;

determine, based on monitoring the one or more variables of the web analytics data for the website, a prediction of when the one or more variables are predicted to meet one or more required conditions of the predictive alert;

provide the predictive alert on the flow of the first user of the social analytics system, wherein the predictive alert on the flow of the first user of the social analytics system includes an interface option to subscribe to the predictive alert;

receive, from a device of a second user of the social analytics system, via the interface option to subscribe to the predictive alert, a different request to provide the predictive alert on a flow of the second user of the social analytics system; and

provide the predictive alert on the flow of the second user of the social analytics system.

14. The system of claim 13, wherein the executable instructions, when executed by the one or more processors, cause the system to:

provide the predictive alert to a device of the first user by email.

15. The system of claim 13, wherein the executable instructions, when executed by the one or more processors, cause the system to:

provide the predictive alert to a device of the first user by a cellular phone message.

16. The system of claim 15, wherein the cellular phone message is a text message.

17. The system of claim 15, wherein the cellular phone message is a voice message.

18. The system of claim 13, wherein the executable instructions, when executed by the one or more processors, cause the system to:

receive, in the request to create the predictive alert, an indication of how frequently monitoring the one or more variables of the web analytics data for the website should occur,

wherein monitoring the one or more variables of the web analytics data for the website is performed according to the indication of how frequently the monitoring should occur.

19. Non-transitory computer-readable media storing executable instructions that, when executed by one or more processors, cause a system to:

receive a request to create a predictive alert based on one or more variables of web analytics data for a website, wherein the request to create the predictive alert includes a request to provide the predictive alert on a flow of a first user of a social analytics system;

monitor the one or more variables of the web analytics data for the website;

determine, based on monitoring the one or more variables of the web analytics data for the website, a prediction of when the one or more variables are predicted to meet one or more required conditions of the predictive alert;

provide the predictive alert on the flow of the first user of the social analytics system, wherein the predictive alert on the flow of the first user of the social analytics system includes an interface option to subscribe to the predictive alert;

receive, from a device of a second user of the social analytics system, via the interface option to subscribe to the predictive alert, a different request to provide the predictive alert on a flow of the second user of the social analytics system; and

provide the predictive alert on the flow of the second user of the social analytics system.

20. The non-transitory computer-readable media of claim 19, wherein the executable instructions, when executed by the one or more processors, cause the system to:

provide the predictive alert to a device of the first user by email.

21. The non-transitory computer-readable media of claim 19, wherein the executable instructions, when executed by the one or more processors, cause the system to:

provide the predictive alert to a device of the first user by a cellular phone message.

22. The non-transitory computer-readable media of claim 21, wherein the cellular phone message is a text message.

23. The non-transitory computer-readable media of claim 21, wherein the cellular phone message is a voice message.

24. The non-transitory computer-readable media of claim 19, wherein the executable instructions, when executed by the one or more processors, cause the system to:

receive, in the request to create the predictive alert, an indication of how frequently monitoring the one or more variables of the web analytics data for the website should occur,

wherein monitoring the one or more variables of the web analytics data for the website is performed according to the indication of how frequently the monitoring should occur.