Abstract: A unique method and system is disclosed for organizing and visualizing hierarchical information. It comprises an editor and a visualization engine. The editor visually organizes information elements into hierarchy by iterating elementary (binarization) steps. The binarization step splits the information elements and a quadrangular space into two parts and associates them with each other. A user may refine each partition to unlimited depth by drilling down to new level. This way, a hierarchical structure is created which is visually grouped into levels by so-called covering sets. The visualization engine, which might work independently from the editor, renders the covering sets into quadrangular-shaped visualization spaces, visualizing compact space-partitions. Several techniques aid rendering and enhanced visualization, such as windowing, visualization rules, grids, equal and alternate splitting. Users navigate in the hierarchy by zooming or moving directions.

Abstract: Disclosed is a method for analyzing recorded telephone calls in order to predict business outcomes. The method involves recording a series of initial telephone calls and analyzing those calls for particular audio features. The audio features are tabulated and annotated to specify whether the telephone call resulted in a pre-determined business outcome. A model is then built whereby the pre-determined business outcome can be predicted based upon the presence of certain audio features. The model can subsequently be used to predict whether future calls are likely to result in the pre-determined business outcome.

Abstract: Disclosed is a method for analyzing recorded telephone calls in order to predict business outcomes. The method involves recording a series of initial telephone calls and analyzing those calls for particular audio features. The audio features are tabulated and annotated to specify whether the telephone call resulted in a pre-determined business outcome. A model is then built whereby the pre-determined business outcome can be predicted based upon the presence of certain audio features. The model can subsequently be used to predict whether future calls are likely to result in the pre-determined business outcome.

Abstract: Disclosed is a method for analyzing recorded telephone calls in order to predict business outcomes. The method involves recording a series of initial telephone calls and analyzing those calls for particular audio features. The audio features are tabulated and annotated to specify whether the telephone call resulted in a pre-determined business outcome. A model is then built whereby the pre-determined business outcome can be predicted based upon the presence of certain audio features. The model can subsequently be used to predict whether future calls are likely to result in the pre-determined business outcome.