A method for fault analysis and prediction in an enterprise environment, the method comprising: obtaining data from a plurality of sources in the enterprise environment, wherein the plurality of sources includes at least one or more systems, users, or applications; associating the obtained data with identifiers that include a theme selected from a set of themes and one or more keywords, wherein the keywords are specific to each theme; generating a workflow for a user based on a session identifier and/or timestamps associated with activity by the user, wherein the workflow identifies a time-based sequence of interactions by the user with the at least one or more systems or applications in the enterprise environment; determining at least one fault identification or fault prediction associated with the enterprise environment based on the workflow and identifiers associated with the obtained data that corresponds to the workflow; and based on the at least one fault identification or fault prediction, implementing a corrective action using a database that correlates fault conditions to known corrective actions, and wherein the corrective action is implemented automatically upon determination of the at least one fault identification or fault prediction using an auto healer module to look up a fault in a root cause and fix repository, wherein the fault prediction is based on a subset of interactions of the time-based sequence of interactions by the user with the at least one or more systems or applications in the enterprise environment, and wherein the subset of interactions correspond to a known fault condition for the enterprise environment stored in a fault database generated based on a previous time-based sequence of interactions by a different user, and wherein correlating the fault conditions to known corrective actions is carried out by a fault correlator module that maps errors, failures, warnings, and/or anomalies with various associated system or device attributes and identifies correlations across architecture/technology layers of the system in the enterprise environment using the mapping. obtaining data from a plurality of sources in the enterprise environment, wherein the plurality of sources includes at least one or more systems, users, or applications; associating the obtained data with identifiers that include a theme selected from a set of themes and one or more keywords, wherein the keywords are specific to each theme; generating a workflow for a user based on a session identifier and/or timestamps associated with activity by the user, wherein the workflow identifies a time-based sequence of interactions by the user with the at least one or more systems or applications in the enterprise environment; determining at least one fault identification or fault prediction associated with the enterprise environment based on the workflow and identifiers associated with the obtained data that corresponds to the workflow; and based on the at least one fault identification or fault prediction, implementing a corrective action using a database that correlates fault conditions to known corrective actions, and wherein the corrective action is implemented automatically upon determination of the at least one fault identification or fault prediction using an auto healer module to look up a fault in a root cause and fix repository, wherein the fault prediction is based on a subset of interactions of the time-based sequence of interactions by the user with the at least one or more systems or applications in the enterprise environment, and wherein the subset of interactions correspond to a known fault condition for the enterprise environment stored in a fault database generated based on a previous time-based sequence of interactions by a different user, and wherein correlating the fault conditions to known corrective actions is carried out by a fault correlator module that maps errors, failures, warnings, and/or anomalies with various associated system or device attributes and identifies correlations across architecture/technology layers of the system in the enterprise environment using the mapping. wherein the fault prediction is based on a subset of interactions of the time-based sequence of interactions by the user with the at least one or more systems or applications in the enterprise environment, and wherein the subset of interactions correspond to a known fault condition for the enterprise environment stored in a fault database generated based on a previous time-based sequence of interactions by a different user, and wherein correlating the fault conditions to known corrective actions is carried out by a fault correlator module that maps errors, failures, warnings, and/or anomalies with various associated system or device attributes and identifies correlations across architecture/technology layers of the system in the enterprise environment using the mapping.