Fault tolerant method for processing data with human intervention

A fault-tolerant computer-implemented method of identifying demographic information in a data file, comprising:

• (a) receiving the data file containing a plurality of fields of demographic information from a third-party, the data file having unknown or unexpected nomenclatures for one or more fields of the plurality of fields;
• (b) analyzing the data file to distinguish between each of the plurality of fields of demographic information;
• (c) detecting a data type for one of the plurality of fields of demographic information;
• (d) assigning a naive label describing the detected data type of (c);
• when the data type for the one or more of the plurality of fields of demographic information is unknown or unexpected, (e) determining whether an exception condition exists based on the unknown or unexpected data type;
• when an exception condition is determined, (f) generating a request for human intervention, the generating a request for human intervention comprising:
• (I) providing a notification to a user that the request for human intervention has been generated,
• (II) causing the human intervention notification to be displayed at a user-interface,
• (III) receiving, at the user-interface, a user input in response to the human intervention notification,
• (IV) assigning an active label to unknown or unexpected data type based on the received user input at (III), and
• (V) storing one or more of the received user input and the assigned active label in a memory;
• (g) normalizing a format of the naive labeled data of (c) and the active labeled data of (IV);
• and
• (h) outputting the normalized data using a pre-specified format.