Method and system for automated transaction analysis

A method for automated transaction identification analysis, the method comprising the steps of:

• receiving a plurality of raw log files from at least one transaction unit into one or more log collector unit and storing the plurality of raw log files to at least one log storage unit from the log collector unit, wherein the log storage unit comprises at least one distributed file system;
• processing the raw log file using at least one log parser unit to remove one or more log fields and one or more log entries from the raw log file that are not relevant for the transaction identification analysis to acquire one or more processed entries;
• identifying at least one session of at least one user by clustering the processed one or more entries from a single user session using at least one session identifier unit, wherein the similar processed entries are clustered together to define a single user session;
• identifying at least one user path that is followed by at least one user during a single user session from the clustered similar user entries using at least one path analysis unit and determine the length of each user path during a user session;
• wherein one or more independent frequency and one or more total frequency are processed from the identified user paths;
• identifying at least one entry point from the identified single user path, wherein the entry point of the user path with the highest independent frequencies is defined as the entry point to the user path;
• and
• determining at least one transaction and at least one sub transaction from the identified entry point using at least one transaction identifier to get a plurality of individual transactions, a plurality of complete transactions and a plurality of sub transactions with their corresponding key metrics.