Dashboard performance analyzer

• US 9,280,443 B2
• Filed: 08/07/2013
• Issued: 03/08/2016
• Est. Priority Date: 07/30/2013
• Status: Active Grant

• Current Assignee: Business Objects Incorporated (SAP SE)
• Original Assignee: Business Objects Incorporated (SAP SE)
• Inventors: Che, Jun, Zhang, Zimo, Zhang, Tianli, Li, Guan
• Primary Examiner(s): Ko, Chae
• Application Number:
  US13/960,820
• Publication Number:
  US 20150039942A1
• Time in Patent Office: 944 Days
• Field of Search: 714/47.2
• US Class Current: 1/1
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 11/3419 by assessing time
• CPC Class Codes: G06F 11/3466 Performance evaluation by tracing or monitoring
• CPC Class Codes: G06F 11/3612 by runtime analysis performance monitoring G06F11/3466
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations

Abstract

Described herein is a technology for a dashboard used for visualizing data. In some implementations, a dashboard with one or more dashboard item is provided. Performance of the dashboard is evaluated to determine a load time of the dashboard. Possible suggestions for improving performance of the dashboard are provided if performance issues are determined from evaluating performance of the dashboard.

Claims

1. A method of evaluating a dashboard design comprising:

providing a dashboard with one or more dashboard items;

evaluating performance of the dashboard to determine a load time of the dashboard; and

providing possible suggestions for improving performance of the dashboard if performance issues are determined from evaluating performance of the dashboard.

2. The method of claim 1 wherein evaluating performance comprises determining an average load time of the dashboard.

3. The method of claim 1 wherein evaluating performance comprises determining an average load time of the dashboard based on a device.

4. The method of claim 3 wherein determining the average load time comprises:

determining average load times of dashboard items; and

summing the average load times of the dashboard items to determine the average load time of the dashboard.

5. The method of claim 4 further comprising parsing the dashboard to determine the dashboard items of the dashboard.

6. The method of claim 5 wherein determining the average load times of the dashboard items comprises:

providing performance benchmark data containing average load times of different dashboard items; and

obtaining the average load times of the dashboard items of the dashboard from the performance benchmark data.

7. The method of claim 6 wherein the performance benchmark data contains the average load times of the different dashboard items based on different devices.

8. The method of claim 7 wherein the performance benchmark data is obtained by actual testing using the different devices.

9. The method of claim 1 wherein evaluating performance of the dashboard comprises providing a performance rating based on an average load time of the dashboard.

10. The method of claim 9 wherein:

the average load time of the dashboard is based on a sum of average load times of the dashboard items of the dashboard; and

displaying the average load times of the dashboard items to indicate performance cost of the dashboard items.

11. The method of claim 10 further comprising providing suggestions to improve performance based on the average load times of the dashboard items.

12. The method of claim 10 further comprising providing suggestions to improve performance based on the average load times of the dashboard items if they exceed a threshold load time.

13. A dashboard evaluation system comprising:

a dashboard parser, the dashboard parser identifies items of the dashboard;

a performance evaluator, the performance evaluator determines a load time of the dashboard; and

a recommender, the recommender suggests solutions to improve performance of the dashboard.

14. The system of claim 13 wherein the performance evaluator generates a performance rating based on the load time of the dashboard.

15. The system of claim 13 wherein the dashboard parser generates an output containing the dashboard items of the dashboard.

16. The system of claim 15 wherein the load time of the dashboard comprises an average load time of the dashboard.

17. The system of claim 15 wherein the load time of the dashboard comprises an average load time of the dashboard based on a device.

18. A non-transitory computer-readable storage medium having a computer readable program code tangibly embodied therein, the computer readable program code adapted to be executed by a processor to implement a method for evaluating a dashboard design comprising:

providing a dashboard;

evaluating performance of the dashboard to determine a load time of the dashboard; and

providing possible suggestions for improving performance of the dashboard if performance issues are determined from evaluating performance of the dashboard.

19. The non-transitory computer-readable storage medium of claim 18 wherein the computer readable program code is integrated with a dashboard designer.

20. The non-transitory computer-readable storage medium of claim 18 wherein evaluating performance comprises determining an average load time of the dashboard.