Intelligent threshold editor

• US 10,089,589 B2
• Filed: 01/30/2015
• Issued: 10/02/2018
• Est. Priority Date: 01/30/2015
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP SE
• Inventors: Doms, Andreas
• Primary Examiner(s): Mansfield, Thomas L
• Assistant Examiner(s): Holzmacher, Derick J
• Application Number:
  US14/610,359
• Publication Number:
  US 20160224920A1
• Time in Patent Office: 1,341 Days
• Field of Search: None
• CPC Class Codes: G06Q 10/06393 Score-carding, benchmarking or key performance indicator [KPI] analysis

Abstract

A method for selecting thresholds for a data variable or key performance indicator (KPI) includes processing, by a computer, an actual data set for the data variable or KPI and displaying a perspective view representing the actual data for the data variable or KPI in an interactive threshold editor or selection dialog on a computer-user interface. Processing the actual data set for the data variable or KPI includes statistically curve fitting the actual data set to a probability distribution function and determining a set of pre-selected thresholds based on the parameters obtained by fitting the actual data set to the probability distribution function. The method further involves presenting one or more user-activable UI elements that are configured to receive user acceptance, rejection or adjustment of the pre-selected thresholds as thresholds for the data variable or KPI.

Claims

1. A system comprising:

a processor; and

a memory,

the processor and memory implementing a computer-user interface for a visual display of a perspective view of a data set, the computer-user interface including an interactive threshold editor,

the interactive threshold editor including one or more interactive visual threshold markers overlaying the visual display of the perspective view of the data set, each of the one or more interactive visual threshold markers suggesting a threshold data value for the data set based on prior system-initiated statistical analysis and characterization of features of the data set, the suggested thresholds providing a selection of scale and units to visually distinguish features of the data set, each of the interactive visual threshold markers coupled to an interactive user interface element for graphical acceptance, rejection or adjustment, by a user, of a suggested threshold as a display threshold,

the interactive threshold editor configured to;

in response to user selection of the display threshold, process the data set for display based on the display threshold;

display, on the computer-user interface, a perspective view representing the data set that has been processed based on the user selection of the display threshold; and

use the user selected display threshold to visually mark features of the data set in the perspective view displayed on the computer-user interface.

2. The system of claim 1, wherein the threshold editor is further configured to statistically curve fit the data set to a probability distribution function and determine a set of pre-selected thresholds based on parameters obtained by fitting the data set to the probability distribution function.

3. The system of claim 2, wherein the probability distribution function is the normal distribution function and the parameters obtained by fitting the data set include a mean μ

and a standard deviation σ

of the fitted normal distribution function, and the maximum and minimum data values in the data set.

4. The system claim 3, wherein the threshold editor is further configured to determine a set of pre-selected thresholds by selecting at least one threshold proportional to one of the mean μ

, the standard deviation σ

, the maximum data value and the minimum data value.

5. The system claim 2, wherein the threshold editor is further configured to evaluate more than one different statistical distribution function to determine which type of distribution function best fits the data set and determine a set of pre-selected thresholds based on the and parameters of the best-fitting distribution.

6. The system claim 2, wherein the threshold editor is further configured to display the perspective view representing the data set in the interactive threshold editor or selection by displaying a graphical representation of the data set and displaying one or more pre-selected thresholds in the interactive threshold editor or a selection dialog.

7. The system claim 6, wherein the threshold editor is further configured to present one or more user-activable UI elements that are configured to define a data range delimited by a threshold as having an open interval boundary or a closed interval boundary, and/or are configured to define an action for a data range delimited by a threshold.

8. A method comprising:

visually displaying, by a computer, a perspective view of a data set on a computer-user interface;

the computer-user interface including an interactive threshold editor,

the interactive threshold editor including one or more interactive visual threshold markers overlaying the visual display of the perspective view of the data set, each of the one or more interactive visual threshold markers suggesting a threshold data value for the data set based on prior system-initiated statistical analysis and characterization of features of the data set, the suggested thresholds providing a selection of scale and units to visually distinguish features of the data set, each of the interactive visual threshold markers coupled to an interactive user interface element for graphical acceptance, rejection or adjustment, by a user, of a suggested threshold as a display threshold;

in response to user selection of the display threshold, processing the data set for display based on the display threshold;

displaying, on the computer-user interface, a perspective view representing the data set that has been processed based on the user selection of the display threshold; and

using the user selected display threshold to visually mark features of the data set in the perspective view displayed on the computer-user interface.

9. The method of claim 8, wherein processing the data set includes statistically curve fitting the data set to a probability distribution function and determining a set of pre-selected thresholds based on the parameters obtained by fitting the data set to the probability distribution function.

10. The method of claim 9, wherein the probability distribution function is the normal distribution function and the parameters obtained by fitting the data set include a mean μ

and a standard deviation σ

of the fitted normal distribution function, and the maximum and minimum data values in the data set.

11. The method of claim 10, further comprising:

determining a set of pre-selected thresholds including a threshold proportional to one of the mean μ

, the standard deviation σ

, the maximum data value, and the minimum data value.

12. The method of claim 9, wherein statistically curve fitting the data set to a probability distribution function includes evaluating more than one different statistical distribution function to determine which type of distribution function best fits the data set and determining a set of pre-selected thresholds based on characteristics and parameters of the best-fitting distribution.

13. The method of claim 9, wherein displaying the perspective view representing the data set in the interactive threshold editor or selection includes displaying a graphical representation of the data in the interactive threshold editor or a selection dialog and displaying one or more pre-selected thresholds in the interactive threshold editor or selection dialog.

14. The method of claim 9, further comprising:

presenting one or more user-activable UI elements in the user interface, the one or more user-activable UI elements configured to define a data range delimited by a threshold as having an open interval boundary or a closed interval boundary, and/or are configured to define an action for a data range delimited by a threshold.

15. A non-transitory computer readable medium, comprising:

instructions capable of being executed on a microprocessor,

which instructions when executed allow a computer device to

visually display a perspective view of a data set on a computer-user interface,

the computer-user interface including an interactive threshold editor,

the interactive threshold editor including one or more interactive visual threshold markers overlaying the visual display of the perspective view of the data set, each of the one or more interactive visual threshold markers suggesting a threshold data value for the data set based on prior system-initiated statistical analysis and characterization of features of the data set, the suggested thresholds providing a selection of scale and units to visually distinguish features of the data set, each of the interactive visual threshold markers coupled to an interactive user interface element for graphical acceptance, rejection or adjustment, by a user, of a suggested threshold as a display threshold;

in response to user selection of the display threshold, process the data set for display based on the display threshold;

display, on the computer-user interface, a perspective view representing the data set that has been processed based on the user selection of the display threshold; and

use the user selected display threshold to visually mark features of the data set in the perspective view displayed on the computer-user interface.

16. The non-transitory computer readable medium of claim 15, wherein the instructions when executed on the microprocessor cause the computer device to process the data set by statistically curve fitting the data set to a probability distribution function and determine a set of pre-selected thresholds based on the parameters obtained by fitting the data set to the probability distribution function.

17. The non-transitory computer readable medium of claim 15, wherein the instructions when executed on the microprocessor cause the computer device to process the data set by evaluating more than one different statistical distribution function to determine which type of distribution function best fits the data set and determine a set of pre-selected thresholds based on characteristics and parameters of the best-fitting distribution function.

18. The non-transitory computer readable medium of claim 15, wherein the instructions when executed on the microprocessor cause the computer device to display a graphical representation of the data in the interactive threshold editor or selection dialog, display one or more pre-selected thresholds in the interactive threshold editor or selection dialog, and presenting one or more user-activable UI elements that are configured to receive graphical acceptance, rejection or adjustment, by a user, of the one or more pre-selected thresholds as display thresholds for the data set.