Systems and methods for managing business issues

• US 20070226231A1
• Filed: 03/09/2006
• Published: 09/27/2007
• Est. Priority Date: 03/09/2006
• Status: Abandoned Application

• Current Assignee: G Venkat
• Original Assignee: G Venkat
• Inventors: Venkat, G.
• Application Number:
  US11/371,735
• Publication Number:
  US 20070226231A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 10/00 Administration; Management

Abstract

Methods, systems, and articles of manufacture consistent with the present invention manage business issues by modeling the business issues and domain semantics in real time. After the business issues are modeled, the functional and the underlying technical and infrastructure components that are responsible for fulfilling the business process execution are located and identified automatically. Specific behaviors of those components are observed to determine what transpires within those components so that the information can be related back to the business issues. Accordingly, business issues may be analyzed in real-time with current data that is automatically extracted from the underlying hardware and software systems.

Claims

1. A computer-implemented method in a data processing system having a program for creating a business domain model, the method comprising the steps of:

identifying an observation that influences a business issue;

identifying an event that corresponds to the observation;

implementing a rule that may generate an output responsive to the event; and

applying the rule to the event.

2. The method of claim 1, wherein the step of identifying the observation comprises the steps of:

receiving a plurality of observations at an event processor, each observation having at least one qualifier;

correlating at least two of the observations based on their qualifiers; and

associating the correlated observations to the business domain model.

3. The method of claim 2, wherein the step of identifying the event further comprises the step of:

aggregating the correlated observations.

4. The method of claim 3, wherein the correlated observations may be aggregated at least one time.

5. The method of claim 3, wherein the step of implementing the rule further comprises the step of:

applying at least one rule when aggregating the correlated observations.

6. The method of claim 1, wherein the rule is applied to the event using forward chaining.

7. The method of claim 1, further comprising the step of:

applying a query to a plurality of historically collected events.

8. The method of claim 1, further comprising the step of:

publishing the business domain model such that it may be used to automatically address a business issue.

9. The method of claim 1, further comprising the steps of:

automatically identifying a component that can provide the observation.

10. The method of claim 9, wherein the component is automatically identified using a software agent.

11. The method of claim 10, further comprising the step of:

identifying a behavior of the component that the software agent is to observe.

12. The method of claim 11, further comprising the step of:

associating the identified component and behavior with an aspect of the business domain model.

13. The method of claim 10, wherein the software agent obtains the observation and forwards the observation.

14. The method of claim 1, wherein a firing of the rule may have a consequence within the data processing system

15. The method of claim 1, wherein the firing of the rule may have a consequence outside of the data processing system.

16. The method of claim 1, further comprising the steps of:

the event processor outputting at least one event and a rule set that corresponds to the at least one event.

17. The method of claim 2, wherein the event processor may consider additional information when correlating the observations.

18. The method of claim 1, wherein the step of applying the rule to the event comprises:

computing the rule using at least one of the event and external data as an input.

19. The method of claim 1, wherein the rule is applied using a rule engine that receives the rule and the event as inputs.

20. The method of claim 1, further comprising the step of:

displaying an influence on the business issue based on at least one observation.

21. A computer-readable medium containing instructions that cause a program to perform a computer-implemented method for creating a business domain model, the method comprising the steps of:

identifying an observation that influences a business issue;

identifying an event that corresponds to the observation;

implementing a rule that may generate an output responsive to the event; and

applying the rule to the event.

22. A data processing system comprising:

a memory having a computer-implemented program performs a method for creating a business domain model that identifies an observation that influences a business issue, identifies an event that corresponds to the observation, implements a rule that may generate an output responsive to the event, and applies the rule to the event; and

a processing unit that runs the program.