Augmented analytics techniques for generating data visualizations and actionable insights

A method for analyzing data in a dataset, the method comprising:

• access the dataset using an electronic interface;
• identifying features within the dataset;
• identifying potential features of interest from the identified features;
• enabling selection of one of the identified potential features of interest;
• and
• responsive to a selection of one of the identified potential features of interest:
• (a) running each of a plurality of computer-implemented algorithms on the dataset to identify at least one related feature that the selected feature of interest is most likely and/or most heavily influenced by;
• (b) causing a display to be generated, the display including a visual representation of each related feature, each visual representation including representations of data values associated with the respective related feature;
• (c) enabling selection of one of the visual representations, wherein one of the representations of the data values associated with the selected visual representation is selectable together with the selected visual representation;
• and
• (d) responsive to one of the visual representations being selected, repeating (a)-(c), wherein responsive to a representation of a data value being selected in (c), the dataset is filtered based on the selected representation of the data value and the repetition is performed in connection with the filtered dataset.

A non-transitory computer readable storage medium storing instructions that, when executed by a computer including at least one hardware processor, control the computer to at least:

• access an electronic dataset;
• identify features within the dataset, wherein different features describe different properties of or pertaining to one or more data elements in the dataset;
• identify potential features of interest from the identified features;
• enable selection of one of the identified potential features of interest;
• and
• responsive to a selection of one of the identified potential features of interest:
• (a) run each of a plurality of computer-implemented algorithms on the dataset to identify a plurality of related features that the selected feature of interest is most likely and/or most heavily influenced by;
• (b) cause a display to be generated, the display including a visual representation of each related feature, each visual representation including representations of data values associated with the respective related feature;
• (c) enable selection of one of the visual representations, wherein one of the representations of the data values associated with the selected visual representation is selectable together with the selected visual representation;
• and
• (d) responsive to one of the visual representations being selected, repeat (a)-(c), wherein responsive to a representation of a data value being selected in (c), the dataset is filtered based on the selected representation of the data value and the repetition is performed in connection with the filtered dataset,
• wherein the algorithms are run on a common set of the identified features across each repetition, regardless of whether any identified features have been identified as related features, and
• in response to the number of features returned in (a) falling below a threshold, perform (b) and preventing (c) and (d).