Abstract: A method, a system and a computer program product are provided. A computing system learns structures and workflows of an enterprise application based on historic usage data and configuration data. The computing system determines that the user needs help based on one or more of an occurrence of a timeout based on a lack of user input regarding the enterprise application, differences in a navigational pattern of the user as compared with navigational patterns of other users, and a relationship regarding the navigational pattern of the user and the objectives. Upon determining that the user needs help, guidance is provided to the user via an interactive user interface. A type of guidance offered depends on how the user needing the help was determined.

Abstract: A method, a system and a computer program product are provided. A computing system learns structures and workflows of an enterprise application based on historic usage data and configuration data. The computing system determines that the user needs help based on one or more of an occurrence of a timeout based on a lack of user input regarding the enterprise application, differences in a navigational pattern of the user as compared with navigational patterns of other users, and a relationship regarding the navigational pattern of the user and the objectives. Upon determining that the user needs help, guidance is provided to the user via an interactive user interface. A type of guidance offered depends on how the user needing the help was determined.

Abstract: A method, system and computer program product for determining key professional skills and personality traits for a job is disclosed. A computer-implemented method is provided that comprises analyzing organization and industry data to identify one or more job-specific attributes associated with a job. A job-specific attributes profile for the job is generated comprising the one or more identified job-specific attributes. The job-specific attributes include one or more professional skills and personality traits that positively influence an outcome of the job.

Abstract: Embodiments of the present invention disclose a method, computer system, and a computer program product for recommending a career path within an organization for a candidate. The present invention may include collecting a plurality of organization data. The present invention may include collecting a plurality of employee data. The present invention may include collecting a plurality of candidate data. The present invention may include determining a plurality of career paths. The present invention may include determining a plurality of top performer attributes. The present invention may include mapping the determined plurality of top performer attributes to the plurality of career paths. The present invention may include determining a plurality of candidate attributes based on the collected plurality of candidate data.

Abstract: Embodiments of the present invention disclose a method, computer system, and a computer program product for recommending a career path within an organization for a candidate. The present invention may include collecting a plurality of organization data. The present invention may include collecting a plurality of employee data. The present invention may include collecting a plurality of candidate data. The present invention may include determining a plurality of career paths. The present invention may include determining a plurality of top performer attributes. The present invention may include mapping the determined plurality of top performer attributes to the plurality of career paths. The present invention may include determining a plurality of candidate attributes based on the collected plurality of candidate data.