OBTAINING EMPLOYEE PERMISSION TO COLLECT DATA ASSOCIATED WITH EMPLOYEE USE OF CORPORATE RESOURCES

• US 20170270437A1
• Filed: 03/17/2016
• Published: 09/21/2017
• Est. Priority Date: 03/17/2016
• Status: Abandoned Application

• Current Assignee: Quest Software, Inc.
• Original Assignee: Dell Software, Inc. (Dell Technologies Inc.)
• Inventors: Johnstone, Curtis, Brisebois, Michel Albert
• Application Number:
  US15/072,987
• Publication Number:
  US 20170270437A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 11/3072 where the reporting involves data filtering, e.g. pattern matching, time or event triggered, adaptive or policy-based reporting
• CPC Class Codes: G06F 11/3438 monitoring of user actions tracking the activity of the user H04L67/535
• CPC Class Codes: G06F 11/3452 Performance evaluation by statistical analysis
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations

Abstract

Systems and techniques are described to display usage data that is collected regarding the employee'"'"'s use of corporate computing resources and obtain the employee'"'"'s permission to collect the usage data. The usage data that is collected may be determined. A user interface may display a plurality of categories associated with the usage data, including system usage data, activity data, identity data, content data, raw data that includes personally identifiable data, aggregated data that does not include personally identifiable data, anonymized data that does not include personally identifiable data, a combination of anonymized and aggregated data used to determine personally identifiable data, user access information, and third party application access. For each category of the plurality of categories, the user interface may display one or more additional employees that have access to the usage data. The user interface may receive a user selection to collect one of the plurality of categories of usage data.

Claims

1. A computer-implemented method, comprising:

determining usage data that is being collected in a computing system with one or more resources, the usage data generated based at least in part on an employee using at least one resource of the one or more resources;

displaying via a user interface, a plurality of categories associated with the usage data that is being collected, the plurality of categories including system usage data, activity data, identity data, content data, raw data that includes personally identifiable data, aggregated data that does not include personally identifiable data, anonymized data that does not include personally identifiable data, a combination of anonymized and aggregated data used to determine personally identifiable data, user access information, and third party application access;

displaying, via the user interface, for each category of the plurality of categories, one or more additional employees that have access to the usage data; and

receiving a first user selection to collect at least a first category of the plurality of categories of usage data.

2. The computer-implemented method of claim 1, further comprising:

receiving a second user selection denying permission to collect at least a second category of usage data associated with the employee; and

instructing a component of the computing system to stop collecting the second category of usage data associated with the employee.

3. The computer-implemented method of claim 1, further comprising:

providing the employee with access to a particular corporate resource based at least in part on receiving the first user selection to collect at least the first category of the plurality of categories of the usage data.

4. The computer-implemented method of claim 1, further comprising:

categorizing, using a first filter, data elements in the usage data into one of operational data, activity data, identity data, or content data;

wherein the operational data includes at least one of a server hop a timestamp, a storage quota, or a quality of service metric;

wherein the activity data includes at least one of a use of a system resource or use of a software feature;

wherein the identity data includes at least one of a user identity associated with a directory service, a participant identity of a participant in a communication, or domain identity data associated with a domain; and

wherein the content data includes email content, email attachments, an audio conference recording, or a video conference recording.

5. The computer-implemented method of claim 1, further comprising:

mapping, using a permission mapping filter, based at least in part on a permission model, the usage data to identify the one or more additional employees that have access to the usage data.

6. The computer-implemented method of claim 1, further comprising:

determining, using an access filter, one or more application programming interfaces with access to the usage data.

7. The computer-implemented method of claim 1, wherein the usage data that is being collected includes one of email usage data, conferencing usage data, software application usage data, or communications usage data.

8. One or more non-transitory computer-readable media storing instructions that are executable by one or more processors to perform operations comprising:

determining usage data that is being collected in a computing system with one or more resources, the usage data generated based at least in part on an employee using at least one resource of the one or more resources;

displaying via a user interface, a plurality of categories associated with the usage data that is being collected, the plurality of categories including system usage data, activity data, identity data, content data, raw data that includes personally identifiable data, aggregated data that does not include personally identifiable data, anonymized data that does not include personally identifiable data, a combination of anonymized and aggregated data used to determine personally identifiable data, user access information, and third party application access;

displaying, via the user interface, for each category of the plurality of categories, one or more additional employees that have access to the usage data; and

receiving a first user selection to collect at least a first category of the plurality of categories of usage data.

9. The one or more non-transitory computer-readable media of claim 8, the operations further comprising:

receiving a second user selection denying permission to collect at least a second category of usage data associated with the employee; and

instructing a component of the computing system to stop collecting the second category of usage data associated with the employee.

10. The one or more non-transitory computer-readable media of claim 8, the operations further comprising:

providing the employee with access to a particular corporate resource based at least in part on receiving the first user selection to collect at least the first category of the plurality of categories of usage data.

11. The one or more non-transitory computer-readable media of claim 8, the operations further comprising:

categorizing, using a first filter, data elements in the usage data into one of operational data, activity data, identity data, or content data;

wherein the operational data includes at least one of a server hop a timestamp, a storage quota, or a quality of service metric;

wherein the activity data includes at least one of a use of a system resource or use of a software feature;

wherein the identity data includes at least one of a user identity associated with a directory service, a participant identity of a participant in a communication, or domain identity data associated with a domain; and

wherein the content data includes email content, email attachments, an audio conference recording, or a video conference recording.

12. The one or more non-transitory computer-readable media of claim 8, the operations further comprising:

mapping, using a permission mapping filter, based at least in part on a permission model, the usage data to identify the one or more additional employees that have access to the usage data.

13. The one or more non-transitory computer-readable media of claim 8, wherein the usage data that is being collected includes one of email usage data, conferencing usage data, software application usage data, or communications usage data.

14. A server comprising:

one or more processors; and

one or more non-transitory computer-readable media storing instructions that are executable by the one or more processors to perform operations comprising;

determining usage data that is being collected in a computing system with one or more resources, the usage data generated based at least in part on an employee using at least one resource of the one or more resources;

displaying via a user interface, a plurality of categories associated with the usage data that is being collected, the plurality of categories including system usage data, activity data, identity data, content data, raw data that includes personally identifiable data, aggregated data that does not include personally identifiable data, anonymized data that does not include personally identifiable data, a combination of anonymized and aggregated data used to determine personally identifiable data, user access information, and third party application access;

displaying, via the user interface, for each category of the plurality of categories, one or more additional employees that have access to the usage data; and

receiving a first user selection to collect at least a first category of the plurality of categories of usage data.

15. The server of claim 14, the operations further comprising:

receiving a second user selection denying permission to collect at least a second category of usage data associated with the employee; and

instructing a component of the computing system to stop collecting the second category of usage data associated with the employee.

16. The server of claim 14, the operations further comprising:

providing the employee with access to a particular corporate resource based at least in part on receiving the first user selection to collect at least the first category of the plurality of categories of usage data.

17. The server of claim 14, the operations further comprising:

categorizing, using a first filter, data elements in the usage data into one of operational data, activity data, identity data, or content data;

wherein the operational data includes at least one of a server hop a timestamp, a storage quota, or a quality of service metric;

wherein the activity data includes at least one of a use of a system resource or use of a software feature;

wherein the identity data includes at least one of a user identity associated with a directory service, a participant identity of a participant in a communication, or domain identity data associated with a domain; and

wherein the content data includes email content, email attachments, an audio conference recording, or a video conference recording.

18. The server of claim 14, the operations further comprising:

mapping, using a permission mapping filter, based at least in part on a permission model, the usage data to identify the one or more additional employees that have access to the usage data.

19. The server of claim 14, further comprising:

determining, using an access filter, one or more application programming interfaces with access to the usage data.

20. The server of claim 14, wherein the usage data that is being collected includes one of email usage data, conferencing usage data, software application usage data, or communications usage data.