METHOD, SYSTEM AND PROGRAM FOR ANALYTICS DATA DELIVERING

• US 20120259891A1
• Filed: 06/19/2012
• Published: 10/11/2012
• Est. Priority Date: 04/11/2011
• Status: Abandoned Application

• Current Assignee: David Edoja
• Original Assignee: David Edoja
• Inventors: Edoja, David
• Application Number:
  US13/526,530
• Publication Number:
  US 20120259891A1
• Time in Patent Office: Days
• US Class Current: 707/784
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Provided are computer-implemented methods and computer systems for interactive data delivery to a user and for setting up a user profile. An interactive data delivery method involves retrieving generic data, which may be web analytics or some other forms of data, and processing this retrieved data based on various user specific rules. As such, the processed data provided to the user is more focused and has elements of business intelligence needed by a particular user. User requirements may depend on industry, business objectives, website objectives, the user'"'"'s role in the organization, and other factors. Data may be requested and provided in an interactive form that includes voice recognition and voice output features.

Claims

1. A computer-implemented method for interactive data delivery, the method comprising:

receiving a user login information;

based on the user login information, retrieving a user profile comprising one or more data components selected from the group consisting of a user industry, a user company, a user role, a business objective, and a website goal;

receiving a user request;

retrieving generic data associated with the user request;

processing the retrieved generic data to generate analytics data, the processing being based on the user profile; and

delivering the analytics data to the user.

2. The computer-implemented method of claim 1, wherein processing the retrieved generic data to generate the analytics data comprises fitting the retrieved generic data into one or more predetermined templates based on one or more scoring factors associated with the user profile.

3. The computer-implemented method of claim 2, wherein the one or more scoring factors are selected from the group consisting of a sell product category, a leads generation category, a provide information category, a create online community category, a sustaining current customers category, and a recruiting affiliates category.

4. The computer-implemented method of claim 2, wherein one or more values associated with the one or more scoring factors are selected based on the one or more data components of the user profile.

5. The computer-implemented method of claim 1, wherein processing the retrieved generic data to generate the analytics data comprises fitting the retrieved generic data into one or more predetermined templates based on one or more keywords received in the user request.

6. The computer-implemented method of claim 1, wherein the retrieved generic data is web analytics data.

7. The computer-implemented method of claim 1, further comprising transmitting a request to a remote data source based on the user login information and/or the user request and receiving a response from the remote data source containing the generic data.

8. The computer-implemented method of claim 1, wherein at least a part of the user request is received in a natural language format.

9. The computer-implemented method of claim 1, wherein at least a part of the analytics data is delivered in a natural language format.

10. The computer-implemented method of claim 1, further comprising repeating operations corresponding to receiving the user request and delivering the analytics data to the user.

11. The computer-implemented method of claim 10, wherein repeating the operations corresponding to receiving the user request and delivering the analytics data to the user is performed without retrieving additional generic data.

12. A computer-implemented method for setting up a user profile, the method comprising:

receiving a user login information;

obtaining one or more data components selected from the group consisting of a user industry, a user company, a user role, a business objective, and a website goal;

associating the user login information with the one or more data components; and

obtaining one or more scoring factors for the one or more data components associated with the user login information, wherein each of the one or more scoring factors represents importance of a corresponding data component of the one or more data components to a user.

13. The computer-implemented method of claim 12, further comprising receiving one or more pointers for retrieving generic data and associating the login information with the one or more pointers.

14. The computer-implemented method of claim 12, further comprising generating one or more templates for presenting retrieved generic data, the one or more templates generated based on the one or more scoring factors.

15. A system for interactive data delivery, the system comprising one or more subsystems, the one or more subsystems comprising:

at least one subsystem to receive a user login information;

at least one subsystem to retrieve a user profile based on the user login information, the user profile comprising one or more data components selected from the group consisting of a user industry, a user company, a user role, a business objective, and a website goal;

at least one subsystem to receive a user request;

at least one subsystem to retrieve generic data associated with the user request;

at least one subsystem to process the retrieved generic data to generate analytics data, the processing being based on the user profile;

at least one subsystem to deliver the analytics data to the user; and

a memory coupled to the one or more processors to store computer-executable instructions.

16. The system of claim 15, wherein the one or more processors are further configured to fit the retrieved generic data into one or more predetermined templates based one or more scoring factors associated with the user profile.

17. The system of claim 16, wherein the one or more scoring factors are selected from the group consisting of a sell product category, a leads generation category, a provide information category, a create online community category, a sustaining current customers category, and a recruiting affiliates category.

18. The system of claim 15, further comprising at least one subsystem to transmit a request to a remote data source based on the user login information and/or the user request and to receive a response from the remote data source containing the generic data.

19. The system of claim 15, further comprising at least one subsystem to receive and process at least a part of the user request as received in a natural language format.