1. A method for utilizing content rich analytical data, comprising: obtaining informational content via multiple channels including at least one of RSS feeds, news feeds, web content aggregators, web engines, social networking medias, search engines, online ad engines, banner engines, online news groups, and forums; storing the informational content in a Darwin Information Typing Architecture database in a native extensible markup language format, the stored informational content including at least one of interactive objects, media files, hotspots, and extensible markup language cross-references; capturing an audit trail during a user session; grouping a subset of correlated actions within the audit trail as a transaction by: capturing an opening action performed by an end user on one or more publishing servers using a client device associated with the end user, the client device communicatively coupled with the one or more publishing servers via a network, the one or more publishing servers adapted to publish informational content to the end user, the opening action performed by the client device on a document, determining actual informational content provided to the end user by applying a filter key associated with the informational content, generating a unique transaction key in response to the captured opening action performed by the client device on the document, correlating a subsequent XML cross referencing (XREF) action that is performed by the client device to the document opening action via the transaction key, the XML cross referencing action and created EXREF event relative to opening of the document, evaluating a natural language of informational content of the document opened by the client device, and generating a natural language preference for the natural language of the document based on the opening action and the correlated cross reference action; generating content rich analytical data from the audit trail, the content rich analytical data filtered and formatted based on a plurality of preferences that include the generated natural language preference generated from behavior of the end user including opening actions of the end user; obtaining informational content for the end user from the informational content stored in the database; translating the obtained informational content according to a language that corresponds to the generated natural language preference of the end user as determined from the content rich analytical data generated from the audit trail; reformatting the native extensible markup language format of the obtained informational content obtained from the database according to the generated natural language preference of the end user in a format for use by a web browser of the user client device to display the obtained informational content on the client device in a format that is perceivable to the end user; and providing the translated and formatted informational content to the end user.