Personalized work planning based on self-optimizing role-based crowd-sourced information

• US 9,811,791 B2
• Filed: 12/23/2014
• Issued: 11/07/2017
• Est. Priority Date: 12/23/2014
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP SE
• Inventors: Koerner, Dennis, Linke, Andreas
• Primary Examiner(s): Hailu, Tadeese
• Application Number:
  US14/581,018
• Publication Number:
  US 20160180279A1
• Time in Patent Office: 1,050 Days
• CPC Class Codes: G06Q 10/06311 Scheduling, planning or task assignment for a person or group
• CPC Class Codes: G06Q 10/063114 Status monitoring or status determination for a person or group
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

According to a general aspect, a system for personalized planning based on crowd-sourcing includes a data collector configured to collect task-related data specific to a user from multiple different data sources, and a planning optimizer configured to determine a task list providing upcoming tasks to complete based on an analysis of the task-related data in view of role-based task data and task-tracking information. The planning optimizer obtains a task from other users having a same role as the user based on the role-based task data, determines a suggested activity for completing the task based on the task-tracking information, and provides the task list to the user via a user interface.

Claims

1. A system for personalized planning based on crowd-sourcing, the system comprising:

at least one processor;

a non-transitory computer-readable medium configured to store executable instructions that when executed by the at least one processor are configured to implement;

a crowd-sourced database configured to store self-optimizing crowd-sourced information, the self-optimizing crowd-sourced information including role-based task data and task-tracking information;

a data collector configured to collect task-related data specific to a user from a plurality of connected data sources including personal data sources and work-specific data sources;

a planning optimizer configured to determine a task list providing upcoming tasks to complete based on an analysis of the task-related data in view of the role-based task data and the task-tracking information, the planning optimizer configured to obtain a task from other users having a same role as the user based on the role-based task data, the planning optimizer configured to determine a suggested activity for completing the task based on the task-tracking information, the planning optimizer configured to provide the task list to the user via a user interface; and

a task selector configured to invoke an external system for completing the task in response to a selection of the task from the task list, the external system being one of the plurality of connected data sources.

2. The system of claim 1, wherein the task-related data includes tasks, activities, and scheduled meetings.

3. The system of claim 1, wherein the data collector is configured to combine personal and work-related activities of the user including combining information about appointments, unread messages, action items for meetings, and upcoming activities from tasks within the role of the user.

4. The system of claim 1, further comprising:

a task tracker configured to collect the task-tracking information from other users having the same role as the user, the task-tracking information including a description of one or more tasks, one or more activities required to complete the one or more tasks, and task duration specifying an amount of time required to complete the one or more tasks.

5. The system of claim 1, further comprising:

a task alerting unit configured to transmit an alert for a potential task to be completed when a key performance indicator (KPI) of an area of responsibility associated with the user or the user'"'"'s role has exceeded a threshold value.

6. The system of claim 1, further comprising:

a task prioritizer configured to prioritize the upcoming tasks based on priority information provided by the user from the task-related data or users having the same role as the user from the role-based task data.

7. The system of claim 1, wherein the planning optimizer is configured to provide a calendar scheduling at least some of the upcoming tasks.

8. The system of claim 1, wherein one of the plurality of connected data sources is a social media network of the user, and the planning optimizer is configured to provide a recommendation for completing the task based on information from the social media network of the user.

9. The system of claim 1,

wherein the planning optimizer is configured to determine the suggested activity for completing the task by analyzing activities of other users, and selecting a particular activity having a shorter task duration for completing the task.

10. The system of claim 1, wherein, in response to the selection of the task from the task list, the task selector configured to directly invoke the external system for completing the task without the user separately logging into the external system.

11. A computer program product tangibly embodied on a non-transitory computer-readable storage medium and including executable code that, when executed, is configured to cause at least one processor to:

store self-optimizing crowd-source information, the self-optimizing crowd-sourced information including role-based task data and task-tracking information;

collect task-related data specific to a user from a plurality of connected data sources including personal data sources and work-specific data sources;

determine a task list providing upcoming tasks to complete based on an analysis of the task-related data in view of the role-based task data and the task-tracking information;

obtain a task from other users having a same role as the user based on the role-based task data;

determine a suggested activity for completing the task based on the task-tracking information;

provide the task list to the user via a user interface; and

directly invoke an external system for completing the task in response to a selection of the task from the task list without the user separately logging into the external system, the external system being one of the plurality of connected data sources.

12. The computer program product of claim 11, wherein the task-related data includes tasks, activities, and scheduled meetings.

13. The computer program product of claim 11, wherein the executable code that, when executed, is configured to cause the at least one processor to combine personal and work-related activities of the user including combining information about appointment, unread messages, action items for meetings, and upcoming activities from tasks within the role of the user.

14. The computer program product of claim 11, wherein the executable code that, when executed, is configured to cause the at least one processor to:

collect the task-tracking information from other users having the same role as the user, the task-tracking information including a description of one or more tasks, one or more activities required to complete the one or more tasks, and task duration specifying an amount of time required to complete the one or more tasks.

15. The computer program product of claim 11, wherein the executable code that, when executed, is configured to cause the at least one processor to:

transmit an alert for a potential task to be completed when a key performance indicator (KPI) of an area of responsibility associated with the user or the user'"'"'s role has exceeded a threshold value.

16. The computer program product of claim 11, wherein the executable code that, when executed, is configured to cause the at least one processor to:

prioritize the upcoming tasks based on priority information provided by the user from the task-related data or users having the same role as the user from the role-based task data.

17. The computer program product of claim 11, wherein the executable code that, when executed, is configured to cause the at least one processor to:

provide a calendar scheduling at least some of the upcoming tasks.

18. The computer program product of claim 11, wherein one of the plurality of connected data sources is a social media network of the user, and the executable code that, when executed, is configured to cause the at least one processor to:

provide a recommendation for completing the task based on information from the social media network of the user.

19. A method for personalized planning based on crowd-sourcing, the method comprising:

storing, by at least one processor, self-optimizing crowd-source information, the self-optimizing crowd-sourced information including role-based task data and task-tracking information;

linking, by the at least one processor, a plurality of data sources based on information received from a user, the plurality of linked data sources including personal data sources and work-specific data sources;

collecting, by the at least one processor, task-related data specific to the user from the plurality of linked data sources;

determining, by the at least one processor, a task list providing upcoming tasks to complete based on an analysis of the task-related data in view of the role-based task data and the task-tracking information;

obtaining, by the at least one processor, a task from other users having a same role as the user based on the role-based task data;

determining, by the at least one processor, a suggested activity for completing the task based on the task-tracking information;

providing, by the at least one processor, the task list to the user via a user interface; and

directly, by the at least one processor, invoking an external system for completing the task in response to a selection of the task from the task list without the user separately logging into the external system, the external system being one of the plurality of linked data sources.

20. The method of claim 19, wherein the task-related data includes tasks, activities, and scheduled meetings.