VISUALIZATION RECOMMENDATIONS BASED ON MEASURE METADATA

• US 20110137850A1
• Filed: 12/07/2009
• Published: 06/09/2011
• Est. Priority Date: 12/07/2009
• Status: Active Grant

• Current Assignee: Business Objects Incorporated (SAP SE)
• Original Assignee: Business Objects Incorporated (SAP SE)
• Inventors: Theraud, Aurelién, Mourey, Nicolas
• Granted Patent: US 8,301,585 B2
• Time in Patent Office: Days
• US Class Current: 706/54
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G09B 29/00 Maps; Plans; Charts; Diagrams, e.g. route diagram star maps G09B27/04; devices for holding or supporting maps A47B97/02; for computing purposes G06G1/14, G09B1/16; display boards G09F

Abstract

A system includes reception of metadata associated with one or more measures, determination of a compatibility of the two or more measures based on the metadata, and determination of a first score associated with a first visualization based on the compatibility. Some aspects include determination of a second score associated with a second visualization based on the compatibility, comparison of the first score and the second score, and recommendation of one of the first visualization or the second visualization based on the comparison.

Claims

1. A method comprising:

receiving metadata associated with two or more measures;

determining a compatibility of the two or more measures based on the metadata; and

determining a first score associated with a first visualization based on the compatibility.

2. A method according to claim 1, further comprising:

determining a second score associated with a second visualization based on the compatibility;

comparing the first score and the second score; and

recommending one of the first visualization or the second visualization based on the comparison.

3. A method according to claim 2, wherein determining the compatibility comprises determining the compatibility based on the metadata and based on data respectively associated with each of the two or more measures.

4. A method according to claim 3, wherein determining the compatibility comprises determining the compatibility based on an aggregation type associated with each of the two or more measures and based on a range of the data respectively associated with each of the two or more measures.

5. A method according to claim 1, wherein determining the compatibility comprises determining the compatibility based on the metadata and based on data respectively associated with each of the two or more measures.

6. A method according to claim 5, wherein determining the first score comprises:

determining a first intermediate score associated with the first visualization based on the compatibility;

determining a positivity of each of the two or more measures based on the data respectively associated with each of the two or more measures;

determining a second intermediate score associated with the first visualization based on the positivity; and

determining the first score based on the first intermediate score and on the second intermediate score.

7. A method according to claim 5, wherein determining the compatibility comprises determining the compatibility based on an aggregation type associated with each of the two or more measures and based on a range of the data respectively associated with each of the two or more measures.

8. A method according to claim 1, wherein determining the first score comprises:

determining a first intermediate score associated with the first visualization based on the compatibility;

determining a positivity of each of the two or more measures based on the data respectively associated with each of the two or more measures;

determining a second intermediate score associated with the first visualization based on the positivity; and

determining the first score based on the first intermediate score and on the second intermediate score.

9. A method according to claim 8, further comprising:

determining a third intermediate score associated with a second visualization based on the compatibility;

determining a positivity of each of the two or more measures based on the data respectively associated with each of the two or more measures;

determining a fourth intermediate score associated with the second visualization based on the positivity; and

determining a second score associated with the second visualization based on the third intermediate score and on the fourth intermediate score.

10. A method according to claim 9,

wherein determining the compatibility comprises determining the compatibility based on an aggregation type associated with each of the two or more measures and based on a range of the data respectively associated with each of the two or more measures.

12. A system according to claim 1, the visualization engine further to:

determine a second score associated with a second visualization based on the compatibility;

compare the first score and the second score; and

recommend one of the first visualization or the second visualization based on the comparison.

13. A system according to claim 12, wherein determination of the compatibility comprises determination of the compatibility based on the metadata and based on data respectively associated with each of the two or more measures.

14. A system according to claim 13, wherein determination of the compatibility comprises determination of the compatibility based on an aggregation type associated with each of the two or more measures and based on a range of the data respectively associated with each of the two or more measures.

11. A system comprising:

a client application to transmit metadata associated with two or more measures; and

a visualization engine to;

receive the metadata;

determine a compatibility of the two or more measures based on the metadata; and

determine a first score associated with a first visualization based on the compatibility.

15. A system according to claim 11, wherein determination of the compatibility comprises determination of the compatibility based on the metadata and based on data respectively associated with each of the two or more measures.

16. A system according to claim 15, wherein determination of the first score comprises:

determination of a first intermediate score associated with the first visualization based on the compatibility;

determination of a positivity of each of the two or more measures based on the data respectively associated with each of the two or more measures;

determination of a second intermediate score associated with the first visualization based on the positivity; and

determination of the first score based on the first intermediate score and on the second intermediate score.

17. A system according to claim 15, wherein determination of the compatibility comprises determination of the compatibility based on an aggregation type associated with each of the two or more measures and based on a range of the data respectively associated with each of the two or more measures.

18. A system according to claim 11, wherein determination of the first score comprises:

determination of a first intermediate score associated with the first visualization based on the compatibility;

determination of a positivity of each of the two or more measures based on the data respectively associated with each of the two or more measures;

determination of a second intermediate score associated with the first visualization based on the positivity; and

determination of the first score based on the first intermediate score and on the second intermediate score.

19. A system according to claim 18, the visualization engine further to:

determine a third intermediate score associated with a second visualization based on the compatibility;

determine a positivity of each of the two or more measures based on the data respectively associated with each of the two or more measures;

determine a fourth intermediate score associated with the second visualization based on the positivity; and

determine a second score associated with the second visualization based on the third intermediate score and on the fourth intermediate score.

20. A system according to claim 19,

wherein determination of the compatibility comprises determination of the compatibility based on an aggregation type associated with each of the two or more measures and based on a range of the data respectively associated with each of the two or more measures.