Event management

• US 20040243422A1
• Filed: 05/30/2003
• Published: 12/02/2004
• Est. Priority Date: 05/30/2003
• Status: Abandoned Application

• Current Assignee: SAP AG (SAP SE)
• Original Assignee: SAP AG (SAP SE)
• Inventors: Moore, Dennis B., Weber, Goetz M.
• Application Number:
  US10/449,947
• Publication Number:
  US 20040243422A1
• Time in Patent Office: Days
• US Class Current: 705/1
• CPC Class Codes: G06Q 10/06312 Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Systems and techniques to manage events by messaging an indeterminate and dynamically expanding target population. In general, in one implementation, the technique includes: receiving information corresponding to an event affecting an organization and determining one or more descriptors of a population relevant to the event based on the received event information, the one or more descriptors including at least one descriptor relating to personal scheduling information; identifying a subset of people in the organization relevant to the event based on the one or more descriptors and sending one or more messages, including a request for response, to the identified subset of people; expanding the subset of people based on message response information, sending one or more additional messages, including a request for response, based on the expanded subset of people, and initiating a resolution of the event based on the message response information.

Claims

1. A method comprising:

receiving information corresponding to an event affecting an organization;

determining one or more descriptors of a population relevant to the event based on the received event information, the one or more descriptors including at least one descriptor relating to personal scheduling information;

identifying a subset of people in the organization relevant to the event based on the one or more descriptors;

sending one or more messages, including a request for response, to the identified subset of people;

expanding the subset of people based on message response information;

sending one or more additional messages, including a request for response, based on the expanded subset of people; and

initiating a resolution of the event based on the message response information.

2. The method of claim 1, wherein identifying the subset of people comprises identifying people that match the one or more descriptors to a first degree, and expanding the subset of people comprises identifying people that match the one or more descriptors to a second degree if the message response information comprises a lack of response.

3. The method of claim 1, wherein identifying the subset of people comprises performing data mining on email traffic and calendar entries.

4. The method of claim 1, wherein identifying the subset of people comprises comparing the one or more descriptors with personnel information pulled from multiple base systems.

5. The method of claim 1, wherein identifying the subset of people comprises:

identifying a prime candidate to address the event;

comparing the at least one descriptor relating to personal scheduling information with schedule information for the prime candidate; and

identifying additional candidates if the prime candidate is currently unavailable.

6. The method of claim 5, wherein identifying the additional candidates comprises checking skills information, affiliation information, location information, and schedule information.

7. The method of claim 1, wherein initiating the resolution of the event is further based on a measure of criticality of the event determined based on the received event information.

8. The method of claim 7, wherein initiating the resolution comprises:

generating a suggested resolution based on the message response information; and

sending the suggested resolution to a person associated with the received event information after a period governed by the measure of criticality.

9. The method of claim 8, wherein expanding the subset of people is performed after another period governed by the measure of criticality.

10. The method of claim 8, wherein generating the suggested resolution comprises generating the suggested resolution based on a lack of response.

11. The method of claim 8, wherein initiating the resolution further comprises recalling unanswered messages after sending the suggested resolution.

12. The method of claim 1, wherein receiving the information corresponding to the event comprises receiving event-specific information generated using an event classification template.

13. The method of claim 12, wherein the at least one descriptor relating to personal scheduling information comprises an implicit descriptor requiring current availability, the implicit descriptor being implicit in an event class for the event.

14. The method of claim 12, wherein determining the one or more descriptors comprises retrieving the one or more descriptors from the received event-specific information.

15. The method of claim 12, wherein sending the one or more messages comprises sending an email message including the request for response and event message information retrieved from the received event-specific information.

16. A system comprising:

an event registration and categorization component that aligns an event with a category that corresponds to a nature of the event;

an event-based distribution component that creates an event-based dynamically generated distribution list corresponding to the event and the category and that causes messages to be sent based on the event-based dynamically generated distribution list; and

a response cycle workflow component that handles message response information and causes the event-based distribution component to expand the event-based dynamically generated distribution list and invoke new messages based on the message response information.

17. The system of claim 16, wherein the event-based distribution component comprises a data mining component used in creating the event-based dynamically generated distribution list.

18. The system of claim 16, wherein the event-based distribution component pulls personnel information from multiple base systems to use in creating the event-based dynamically generated distribution list.

19. The system of claim 18, wherein the multiple base systems comprise a human resource management system, a project management system, a time management system, and a communications management system.

20. The system of claim 18, wherein the personnel information comprises skills information, affiliation information, location information, and schedule information.

21. A system comprising:

means for identifying a target population to respond to an event affecting an organization based on one or more descriptors of people relevant to the event, the one or more descriptors including at least one descriptor relating to personal scheduling information;

means for messaging the target population; and

means for iteratively expanding the target population based on message response information.

22. The system of claim 21, further comprising means for identifying the event.

23. A method comprising:

identifying a target population to respond to an event affecting an organization based on one or more descriptors of people relevant to the event, the one or more descriptors including at least one descriptor relating to personal scheduling information;

messaging the target population; and

iteratively expanding the target population based on message response information.

24. The method of claim 23, wherein iteratively expanding the target population is further based on a measure of criticality of the event to affect a time within which a resolution of the event is initiated.

25. An article comprising a machine-readable medium storing instructions operable to cause one or more machines to perform operations comprising:

receiving information corresponding to an event affecting an organization;

determining one or more descriptors of a population relevant to the event based on the received event information, the one or more descriptors including at least one descriptor relating to personal scheduling information;

identifying a subset of people in the organization relevant to the event based on the one or more descriptors;

sending one or more messages, including a request for response, to the identified subset of people;

expanding the subset of people based on message response information;

sending one or more additional messages, including a request for response, based on the expanded subset of people; and

initiating a resolution of the event based on the message response information.

26. The article of claim 25, wherein identifying the subset of people comprises identifying people that match the one or more descriptors to a first degree, and expanding the subset of people comprises identifying people that match the one or more descriptors to a second degree if the message response information comprises a lack of response.

27. The article of claim 25, wherein identifying the subset of people comprises performing data mining on email traffic and calendar entries.

28. The article of claim 25, wherein identifying the subset of people comprises comparing the one or more descriptors with personnel information pulled from multiple base systems.

29. The article of claim 28, wherein the multiple base systems comprise a human resource management system, a project management system, a time management system, and a communications management system.

30. The article of claim 25, wherein initiating the resolution of the event is further based on a measure of criticality of the event determined based on the received event information.

31. The article of claim 30, wherein initiating the resolution comprises:

generating a suggested resolution based on the message response information; and

sending the suggested resolution to a person associated with the received event information after a period governed by the measure of criticality.

32. The article of claim 31, wherein expanding the subset of people is performed after another period governed by the measure of criticality.

33. The article of claim 31, wherein generating the suggested resolution comprises generating the suggested resolution based on a lack of response.

34. The article of claim 31, wherein generating the suggested resolution comprises generating the suggested resolution based on a received response.

35. The article of claim 31, wherein initiating the resolution further comprises recalling unanswered messages after sending the suggested resolution.

36. The article of claim 25, wherein receiving the information corresponding to the event comprises receiving event-specific information generated using an event classification template.

37. The article of claim 36, wherein the at least one descriptor relating to personal scheduling information comprises an implicit descriptor requiring current availability, the implicit descriptor being implicit in an event class for the event.

38. The article of claim 36, wherein determining the one or more descriptors comprises retrieving the one or more descriptors from the received event-specific information.

39. The article of claim 36, wherein determining the one or more descriptors comprises deriving the one or more descriptors from the received event-specific information.

40. The article of claim 36, wherein sending the one or more messages comprises sending an email message including the request for response and event message information retrieved from the received event-specific information.