Systems and methods of generating analytical data based on captured audit trails
Systems and methods for generating analytical data based on captured audit trails are described. An exemplary method includes generating a natural language preference for the natural language of a document based on an opening action performed by an end user using a client device associated with the end user during a user session; generating a unique transaction key in response to the opening action; correlating subsequent actions relative to the document via the unique transaction key; generating content rich analytical data from an audit trail generated during the user session; obtaining informational content for the end user from informational content stored in a database; translating the obtained informational content; reformatting a native extensible markup language format of the obtained informational content obtained from the database; and providing the translated and formatted informational content to the end user.
1. A method, comprising:
generating a natural language preference for a natural language of a document based on an opening action performed by an end user on one or more publishing servers using a client device associated with the end user during a user session;
generating a unique transaction key in response to the opening action performed by the client device on the document;
correlating subsequent actions relative to the document to the opening action of the document via the unique transaction key;
generating content rich analytical data from an audit trail generated during the user session, 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 the opening action of the end user;
obtaining informational content for the end user from informational content stored in a 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 a 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; and
providing the translated and formatted informational content to the end user.
2. The method according to claim 1 , wherein the informational content is obtained via multiple channels selected from 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, or forums.
3. The method according to claim 1 , wherein the stored informational content comprises at least one of interactive objects, media files, hotspots, or extensible markup language cross-references.
4. The method according to claim 1 , further comprising grouping a subset of correlated actions within the audit trail as a transaction by capturing the opening action performed by the end user on the one or more publishing servers using the 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 the document.
5. The method according to claim 4 , further comprising determining actual informational content provided to the end user by applying a filter key associated with the informational content.
6. The method according to claim 1 , wherein the subsequent actions comprise printing the document.
7. The method according to claim 1 , wherein the subsequent actions comprise XML cross referencing (XREF) actions.
8. The method according to claim 7 , further comprising correlating a subsequent XML cross referencing (XREF) action that is performed by the client device to the opening action of the document via the unique transaction key, the XML cross referencing action and created XREF event relative to the opening action of the document and evaluating a natural language of informational content of the document opened by the client device.
9. The method according to claim 1 , wherein capturing the audit trail comprises:
determining an initiation of a session by a client device accessing the one or more publishing servers;
assigning a session key to the session;
determining actions performed on the one or more publishing servers by the client device between the initiation and a termination of the session;
associating each action performed during the session with the session key; and
storing the actions performed on the one or more publishing servers as an audit trail.
10. The method according to claim 9 , wherein generating content rich analytical data by evaluating an efficacy of a search transaction comprises:
receiving a search request from the client device;
correlating the search request to a transaction key;
determining additional actions performed on the one or more publishing servers that are associated with the search transaction utilizing the transaction key; and
evaluating the additional actions to determine the efficacy of the search transaction.
11. The method according to claim 1 , wherein the audit trail is associated with a host key that associates the audit trail with the one or more publishing servers from which the audit trail was generated.
12. The method according to claim 11 , further comprising storing actions performed on the one or more publishing servers in the audit trail in chronological order.
13. The method according to claim 12 , further comprising modeling at least a portion of a session by:
recreating the actions performed on the one or more publishing servers on a publishing server utilizing at least a portion of the audit trail; and
displaying the recreated actions on a display device of a computing system.
14. The method according to claim 1 , wherein the content rich analytical data further comprises client device configuration information via a web browser application associated with the client device.
15. The method according to claim 14 , wherein the client device configuration information includes any of a media access control (MAC) address, an Internet protocol (IP) address, a web browser application type, a web browser application version, an operating system type, an operating system version, a hostname of the client device, session data associated with a cookie resident on the client device, and combinations thereof.
16. The method according to claim 1 , wherein the natural language preference generated from the opening action further comprises natural language information associated with the informational content opened by a client device.
17. The method according to claim 1 , wherein actions performed on a publishing server include any of searching, resolving, opening, printing, viewing, accessing, and requesting, relative to the informational content published by the one or more publishing servers.
18. A server, comprising:
an analytics module configured to:
generate a natural language preference for a natural language of a document based on an opening action performed by an end user on one or more publishing servers during a user session;
generate content rich analytical data from an 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 the opening action of the end user;
generate a unique transaction key in response to the opening action performed by a client device on the document;
correlate subsequent actions relative to the document to the opening action of the document via the unique transaction key;
translate 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; and
reformat a native extensible markup language format of the obtained informational content obtained from a database according to the generated natural language preference of the end user; and
a user interface module configured to display the translated and reformatted informational content to the end user.
19. The server according to claim 18 , wherein the subsequent actions comprise printing the document.
20. The server according to claim 18 , wherein the subsequent actions comprise XML cross referencing (XREF) actions.