12. A system for generating consumer sentiment and attribute correlation visualizations from data obtained from a plurality of data sources, comprising: at least two integration elements configured to integrate data from a plurality of data sources; an interface for receiving a business intelligence query from a user; a parser for parsing the business intelligence query to determine polarity, emotion and topicality (PET) of the query; at least two attribute selectors configured to select key attributes from a plurality of available attributes in the integrated data responsive to the PET, and compile the selected key attributes into a metadata construct; a social segment element configured to generate at least one consumer segment using social network data located in the metadata construct; a sentiments mapping element configured to generate sentiment for the at least one consumer segment using the metadata construct, wherein the sentiments mapping element consists of multiple load balancing servers operating in parallel coupled to a local database for storing transient analytics data from the plurality of data sources and analysis results thereby enhancing analysis performance, wherein the generation of the sentiment is by name-value pair modeling; a correlation mapping element configured to generate correlations between attributes of the integrated data; and a visualization element configured to generate a visualization of the segment, sentiment and correlations, integrating data from a plurality of data sources as an infographic and chart, and outputting the visualization in an electronic format accessible by a third party application.
12. A system for generating consumer sentiment and attribute correlation visualizations from data obtained from a plurality of data sources, comprising: at least two integration elements configured to integrate data from a plurality of data sources; an interface for receiving a business intelligence query from a user; a parser for parsing the business intelligence query to determine polarity, emotion and topicality (PET) of the query; at least two attribute selectors configured to select key attributes from a plurality of available attributes in the integrated data responsive to the PET, and compile the selected key attributes into a metadata construct; a social segment element configured to generate at least one consumer segment using social network data located in the metadata construct; a sentiments mapping element configured to generate sentiment for the at least one consumer segment using the metadata construct, wherein the sentiments mapping element consists of multiple load balancing servers operating in parallel coupled to a local database for storing transient analytics data from the plurality of data sources and analysis results thereby enhancing analysis performance, wherein the generation of the sentiment is by name-value pair modeling; a correlation mapping element configured to generate correlations between attributes of the integrated data; and a visualization element configured to generate a visualization of the segment, sentiment and correlations, integrating data from a plurality of data sources as an infographic and chart, and outputting the visualization in an electronic format accessible by a third party application. 19. The system of claim 12 wherein the correlation mapping element generates the correlation using clustering algorithms.