Dashboard usage tracking and generation of dashboard recommendations

A computer program product including a computer readable storage medium having a computer readable program stored therein, wherein the computer readable program, when executed on a computing device, causes the computing device to:

• present, on a client computing device, a first dashboard providing a graphical user interface to a first user;
• track user inputs to the client computing device, at least during and after presentation of the first dashboard to the first user, to identify at least one characteristic of the user inputs;
• generate predictive analytics by applying logic to:
• identify and analyze dashboard usage patterns associated with one or more other users that accessed the first dashboard and transitioned from the first dashboard to one or more other dashboards, and interactions of the one or more other users with portions of the one or more other dashboards, and to identify and analyze user characteristics associated with the one or more other users;
• apply the predictive analytics to the tracked user inputs to predict a type of data the first user is attempting to access and that is not provided by the first dashboard;
• correlate the predicted type of data with the one or more portions of the one or more other dashboards, wherein the one or more portions of the one or more other dashboards provide a representation of data having a type matching the predicted type of data that is not provided by the first dashboard;
• output a recommendation to the first user via an interactive graphical user interface element indicating the one or more correlated portions of the one or more other dashboards providing the representation of data matching the predicted type of data that is not provided by the first dashboard;
• receive a user selection of the recommendation via the interactive graphical user interface element;
• and
• in response to the user selection, modify the first dashboard to display the predicted type of data by incorporating into the first dashboard the one or more correlated portions of the one or more other dashboards.

An apparatus comprising:

• a processor;
• and
• a memory coupled to the processor, wherein the memory includes instructions which, when executed by the processor, cause the processor to:
• present, on a client computing device, a first dashboard providing a graphical user interface to a first user;
• track user inputs to the client computing device, at least during and after presentation of the first dashboard to the first user, to identify at least one characteristic of the user inputs;
• generate predictive analytics by applying logic to:
• identify and analyze dashboard usage patterns associated with one or more other users that accessed the first dashboard and transitioned from the first dashboard to one or more other dashboards, and interactions of the one or more other users with portions of the one or more other dashboards, and to identify and analyze user characteristics associated with the one or more other users;
• apply predictive analytics to the tracked user inputs to predict a type of data the first user is attempting to access and that is not provided by the first dashboard;
• correlate the predicted type of data with the one or more portions of the one or more other dashboards, wherein the one or more portions of the one or more other dashboards provide a representation of data having a type matching the predicted type of data that is not provided by the first dashboard;
• output a recommendation to the first user via an interactive graphical user interface element indicating the one or more correlated portions of the one or more other dashboards providing the representation of data matching the predicted type of data that is not provided by the first dashboard;
• receive a user selection of the recommendation via the interactive graphical user interface element;
• and
• in response to the user selection, modify the first dashboard to display the predicted type of data by incorporating into the first dashboard the one or more correlated portions of from the one or more other dashboards.