Abstract: Described herein is a system and method for providing an integrated function editor, for use with a data analytics environment. The function editor can be utilized to create and register functions available within a cloud infrastructure or cloud environment, for use within a data analytics environment. Such functions available for use within the cloud infrastructure or cloud environment can be displayed for the user, and used, for example, in data analytics workbooks, to create an interface or API that allows connection of the data analytics environment to a cloud infrastructure database.

Abstract: Example embodiments include software for selectively combining outputs for multiple machine learning modules, so as to generate composite values. The composite values may provide more accurate metrics, e.g., composite scores, that may be used to more reliably predict/estimate, for instance, the likelihood of a given lead converting into a customer within a predetermine time interval. In certain embodiments, a math model selectively combines the scores, and the parameters thereof can be selectively adjusted in real time, based on real time data; so as to maintain accuracy of the composite scores. This can lead to enhanced situational awareness, which can be particularly important for enterprise sales representatives, account managers, and so on.

Abstract: Described herein are systems and methods for generating automatic insights of analytics data. Generally, when data is uploaded or otherwise linked to or made accessible to an analytics environment, a skilled user is needed in order to generate meaningful data visualizations. The systems and methods described herein provide an automatic mechanism to generate for viewing and selection a set of meaningful data visualizations, wherein said generation is based upon a determined set of metrics, scored data columns, and scored visualizations.