Pattern representation images for business intelligence dashboard objects

• US 9,240,061 B2
• Filed: 10/02/2012
• Issued: 01/19/2016
• Est. Priority Date: 10/02/2012
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Breedvelt-Schouten, Ilse M.
• Primary Examiner(s): Merouan, Abderrahim
• Application Number:
  US13/633,735
• Publication Number:
  US 20140092096A1
• Time in Patent Office: 1,204 Days
• Field of Search: 705/7.36, 705/7.39, 705/2, 705/7.41, 705/7.11, 705/7.32, 705/301, 705/35, 345/441, 345/440, 715/762, 715/738, 715/772, 715/234, 715/764
• US Class Current: 1/1
• CPC Class Codes: G06F 40/143 Markup, e.g. Standard Generalized Markup Language [SGML] or Document Type Definition [DTD]
• CPC Class Codes: G06F 40/169 Annotation, e.g. comment data or footnotes
• CPC Class Codes: G06F 40/174 Form filling; Merging
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06T 11/20 Drawing from basic elements, e.g. lines or circles

Abstract

Techniques are described for generating pattern representation images of business intelligence (BI) dashboard objects in a business intelligence (BI) dashboard. In one example, a method includes generating an image that represents a dashboard object in the business intelligence dashboard. The image may be based at least in part on one or more rules defined for metadata associated with the dashboard object. The method may include collecting the data from the dashboard object prior to generating the image. The metadata may include an indication of a type of display comprised in the dashboard object, and the method may further include generating the image with a theme associated with the type of the display. The theme may include one or more styles and one or more color schemes applied to the image.

Claims

1. A method comprising:

receiving, by one or more computing devices, business intelligence (BI) dashboard metadata for a plurality of dashboard objects, wherein respective dashboard objects among the dashboard objects are based on respective multidimensional data sources, wherein the metadata for each respective dashboard object indicates a number of dimensions of the respective multidimensional data source, a number of measures of the respective multidimensional data source, a number of tabs of the respective multidimensional data source, and types of displays comprised in the respective dashboard object; and

generating, by the one or more computing devices, based on the BI dashboard metadata for the plurality of dashboard objects, a plurality of images in a business intelligence dashboard, wherein respective images among the plurality of images represent respective dashboard objects among the plurality of dashboard objects,

wherein generating the respective images is based at least in part on one or more rules defined for generating the images with respective visual patterns to represent characteristics of the metadata associated with the respective dashboard objects represented by the respective images, and

wherein generating the respective images based at least in part on the one or more rules comprises generating the respective images with a plurality of generally vertical lines to represent the number of dimensions of the respective multidimensional data sources;

a plurality of generally horizontal lines to represent the number of measures of the respective multidimensional data sources;

a plurality of cascading horizontal lines to represent a number of tabs of the respective multidimensional data sources; and

one or more icons representing the types of displays, wherein the icons comprise at least one of a crosstab icon, a chart icon, and a graph icon.

2. The method of claim 1, further comprising:

receiving themes from a theme definition store; and

generating the respective images with a different theme, from among the themes from the theme definition store, applied to each of the plurality of images depending on the types of displays comprised in each of the dashboard objects from among a BI report, a text document, a list, a chart, and a graph, wherein the theme comprises one or more styles and one or more color schemes applied to each of the plurality of images.

3. The method of claim 1, wherein the metadata comprise respective names of the respective dashboard objects, and the method further comprises generating the respective images with respective colors based on the respective names.

4. The method of claim 1, wherein the metadata comprise respective names of the respective dashboard objects, and the method further comprises generating the respective images with respective horizontal lines each with a respective length that is based on the length of the respective name.

5. The method of claim 1, wherein the respective images are further based at least in part on data comprised within a respective dashboard objects.

6. The method of claim 5, wherein the data comprised within the respective dashboard object is stored by a server from a previous run of the respective dashboard object.

7. The method of claim 5, wherein the data comprises a number of pages in the respective dashboard object, and the method further comprises generating the image with a visual representation of the number of pages.

8. The method of claim 5, wherein the data comprises a data size of a display in the respective dashboard object, and the method further comprises generating the image with a visual representation of the display with a visual indication of the data size of the display.

9. The method of claim 8, wherein the data size of a display comprises at least one of a range of rows in a list and a size of a crosstab in the dashboard object.

10. The method of claim 1, wherein the icons are flexibly positioned to magnify differences in appearance between the respective images compared with the respective dashboard objects.

11. A computing system comprising:

one or more processors;

one or more computer-readable data storage devices; and

computer-executable program instructions, stored on the one or more computer-readable data storage devices for execution by the one or more processors, wherein the program instructions comprise;

program instructions for receiving business intelligence (BI) dashboard metadata for a plurality of dashboard objects, wherein respective dashboard objects among the dashboard objects are based on respective multidimensional data sources, wherein the metadata for each respective dashboard object indicates a number of dimensions of the respective multidimensional data source, a number of measures of the respective multidimensional data source, a number of tabs of the respective multidimensional data source, and types of displays comprised in the respective dashboard object; and

program instructions for generating, based on the BI dashboard metadata for the plurality of dashboard objects, a plurality of images in a business intelligence dashboard, wherein respective images among the plurality of images represent respective dashboard objects among the plurality of dashboard objects,

wherein generating the respective images is based at least in part on one or more rules defined for generating the images with respective visual patterns to represent characteristics of the metadata associated with the respective dashboard objects represented by the respective images, and

wherein the program instructions for generating the respective images based at least in part on the one or more rules comprise program instructions for generating the respective images with a plurality of generally vertical lines to represent the number of dimensions of the respective multidimensional data sources;

a plurality of generally horizontal lines to represent the number of measures of the respective multidimensional data sources;

a plurality of cascading horizontal lines to represent a number of tabs of the respective multidimensional data sources; and

one or more icons representing the types of displays, wherein the icons comprise at least one of a crosstab icon, a chart icon, and a graph icon.

12. The computing system of claim 11, wherein the program instructions further comprise:

program instructions for receiving themes from a theme definition store; and

program instructions for generating the respective images with a different theme, from among the themes from the theme definition store, applied to each of the plurality of images depending on the types of displays comprised in each of the dashboard objects from among a BI report, a text document, a list, a chart, and a graph, wherein the theme comprises one or more styles and one or more color schemes applied to each of the plurality of images.

13. The computing system of claim 11, wherein the respective images are further based at least in part on data from a previous run of the respective dashboard objects stored by a server as metadata associated with the respective dashboard objects, wherein the program instructions further comprise:

program instructions for generating the image with a visual representation of the data from the previous run of the respective dashboard objects.

14. A computer program product comprising executable instructions stored on a non-transitory computer-readable storage medium, configured for causing one or more programmable processors to:

receive business intelligence (BI) dashboard metadata for a plurality of dashboard objects, wherein respective dashboard objects among the dashboard objects are based on respective multidimensional data sources, wherein the metadata for each respective dashboard object indicates a number of dimensions of the respective multidimensional data source, a number of measures of the respective multidimensional data source, a number of tabs of the respective multidimensional data source, and types of displays comprised in the respective dashboard object; and

generate, based on the BI dashboard metadata for the plurality of dashboard objects, a plurality of images in a business intelligence dashboard, wherein respective images among the plurality of images represent respective dashboard objects among the plurality of dashboard objects,

wherein generating the respective images is based at least in part on one or more rules defined for generating the images with respective visual patterns to represent characteristics of the metadata associated with the respective dashboard objects represented by the respective images, and

wherein the program instructions for generating the respective images based at least in part on the one or more rules comprise program instructions for generating the respective images with a plurality of generally vertical lines to represent the number of dimensions of the respective multidimensional data sources;

a plurality of generally horizontal lines to represent the number of measures of the respective multidimensional data sources;

a plurality of cascading horizontal lines to represent a number of tabs of the respective multidimensional data sources; and

one or more icons representing the types of displays, wherein the icons comprise at least one of a crosstab icon, a chart icon, and a graph icon.

15. The computer program product of claim 14, further comprising:

program instructions for receiving themes from a theme definition store; and

program instructions for generating the respective images with a different theme, from among the themes from the theme definition store, applied to each of the plurality of images depending on the types of displays comprised in each of the dashboard objects from among a BI report, a text document, a list, a chart, and a graph, wherein the theme comprises one or more styles and one or more color schemes applied to each of the plurality of images.

16. The computer program product of claim 14, wherein the respective images are further based at least in part on data from a previous run of the respective dashboard objects stored by a server as metadata associated with the respective dashboard objects, the computer program product further comprising:

program instructions for generating the image with a visual representation of the data from the previous run of the respective dashboard objects.