Computer-Implemented Generation Of Roadmap Visualizations

1 . A computer-implemented method for generating a roadmap visualization for a set of topics, comprising:

a computer receiving topic data about each topic in a set of topics from an entity;

analyzing, by the computer, the received topic data to calculate one or more business scores for each topic;

generating a visualization by the computer plotting entity datapoints for each topic in a visualization format, where visual characteristics of the entity datapoints indicate the business scores for each topic; and

displaying the visualization on a display device communicatively connected to the computer.

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

the computer receiving a user selection of comparison topics, wherein each comparison topic corresponds to a topic in the set of topics from the entity;

analyzing, by the computer, comparison data about the comparison topics to calculate one or more comparative business scores for each comparison topic;

generating a comparison visualization by the computer plotting comparison datapoints for each comparison topic in the visualization format, where visual characteristics of the comparison datapoints indicate the comparative business scores for each comparison topic; and

displaying the comparison visualization on the display device.

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

the computer plotting a linkage indication between each comparison datapoint and its corresponding entity datapoint prior to said display of the comparison visualization.

4 . The computer-implemented method of claim 1 , wherein each of said one or more business scores is selected from the group consisting of a risk score, a business impact score, an implementation score, an uncertainty score and an alignment score.

5 . The computer-implemented method of claim 1 , wherein the visualization format is a bullseye diagram comprising a set of concentric circles, wherein each circle in the set represents a user-defined data attribute selected from the group consisting of a time period, a security threat level, a maturity level, a project phase, and a business impact level.

6 . The computer-implemented method of claim 1 , wherein said plotting comprises the computer applying a force-directed algorithm to the entity datapoints.

7 . The computer-implemented method of claim 1 , wherein the topic data comprises data dependency information about the topic, and further comprising:

the computer receiving a user selection of a particular entity datapoint plotted in the visualization format;

in response to said receiving a user selection, displaying the data dependency information for the particular entity datapoint on the display device.

8 . An apparatus comprising:

a memory having topic data about each topic in a set of topics stored therein; and

a processor configured to:

analyze the stored topic data to calculate one or more business scores for each topic;

generate a visualization by plotting entity datapoints for each topic in a visualization format, where visual characteristics of the entity datapoints indicate the business scores for each topic; and

communicate the visualization to a display device for display to a user.

9 . The apparatus of claim 8 , wherein the processor is further configured to:

receive a user selection of comparison topics, wherein each comparison topic corresponds to a topic in the set of topics from the entity;

analyze comparison data about the comparison topics to calculate one or more comparative business scores for each comparison topic;

generate a comparison visualization by plotting comparison datapoints for each comparison topic in the visualization format, where visual characteristics of the comparison datapoints indicate the comparative business scores for each comparison topic; and

communicate the comparison visualization to the display device for display to a user.

10 . The apparatus of claim 9 , wherein said generating the comparison visualization further comprises the processor plotting a linkage indication between each comparison datapoint and its corresponding entity datapoint.

11 . The apparatus of claim 8 , wherein each of said one or more business scores is selected from the group consisting of a risk score, a business impact score, an implementation score, an uncertainty score and an alignment score.

12 . The apparatus of claim 8 , wherein the visualization format is a bullseye diagram comprising a set of concentric circles, wherein each circle in the set represents a user-defined data attribute selected from the group consisting of a time period, a security threat level, a maturity level, a project phase, and a business impact level.

13 . The apparatus of claim 8 , wherein said plotting comprises the processor applying a force-directed algorithm to the entity datapoints.

14 . The apparatus of claim 8 , wherein the topic data comprises data dependency information about the topic, and wherein the processor is further configured to:

receive a user selection of a particular entity datapoint plotted in the visualization format;

in response to said receiving a user selection, communicate to the display device a dependency display comprising the data dependency information for the particular entity datapoint.

15 . One or more computer readable media encoded with instructions that, when executed by a processor, cause the processor to:

receive into memory topic data about each topic in a set of topics from an entity;

analyze the received topic data to calculate one or more business scores for each topic;

store the calculated business scores for each topic in memory;

generate a visualization by plotting entity datapoints for each topic in a visualization format, where visual characteristics of the entity datapoints indicate the stored business scores for each topic; and

communicate the visualization to a display device for display to a user.

16 . The computer readable media of claim 15 , further comprising instructions that when executed cause the processor to:

receive a user selection of comparison topics, wherein each comparison topic corresponds to a topic in the set of topics from the entity;

analyze comparison data about the comparison topics to calculate one or more comparative business scores for each comparison topic;

generate a comparison visualization by plotting comparison datapoints for each comparison topic in the visualization format, where visual characteristics of the comparison datapoints indicate the comparative business scores for each comparison topic; and

communicate the comparison visualization to the display device for display to a user.

17 . The computer readable media of claim 15 , wherein each of said one or more business scores is selected from the group consisting of a risk score, a business impact score, an implementation score, an uncertainty score and an alignment score.

18 . The computer readable media of claim 15 , wherein the visualization format is a bullseye diagram comprising a set of concentric circles, wherein each circle in the set represents a user-defined data attribute selected from the group consisting of a time period, a security threat level, a maturity level, a project phase, and a business impact level.

19 . The computer readable media of claim 15 , wherein said plotting further comprises instructions that when executed cause the processor to:

applying a force-directed algorithm to the entity datapoints.

20 . The computer readable media of claim 15 , wherein the topic data comprises data dependency information about the topic, and further comprising instructions that when executed cause the processor to:

receive a user selection of a particular entity datapoint plotted in the visualization format;

in response to said receiving a user selection, communicate to the display device a dependency display comprising the data dependency information for the particular entity datapoint.