A method, implemented in a computing platform, for processing non-public information having handwritten data, the method includes the steps of: collecting an initial transaction document having one or more form images and assigning a transaction ID to the document and a unique identifier to each image form; performing a form recognition step to completely identify the initial transaction document and form images using bit map pattern analysis, and programmatic matching of any unidentified form images of the document to a pre-configured form of a transaction company stored in a library, to assist in the creating of a template; creating the template based on one or more data fields each having a plurality of handwritten data in a form that is selected based on the transaction company business requirements; mapping to a data dictionary library that defines industry standards of the business of the transaction company to assure all information requirements are met in the template; and sending, based on the template, selected handwritten data from the plurality of handwritten data to one of a plurality of data operators to determine the handwritten data and provide digital data of the same, wherein said digital data is provided within one minute of receipt by the data operator, using a data management system for managing each of the plurality of handwritten data and the sending of each of the plurality of handwritten data to a different one of the plurality of data operators; managing the sequencing of the plurality of the handwritten data to the plurality of data operators; using the data management system for sending the selected handwritten data to a different one of the plurality of data operators when said digital data is not provided within one minute of receipt by the data operator; and storing the digital data in a shredded data warehouse in an out of context format, so that no non-public information can be determined until the information is placed into context even if unauthorized access occurs. collecting an initial transaction document having one or more form images and assigning a transaction ID to the document and a unique identifier to each image form; performing a form recognition step to completely identify the initial transaction document and form images using bit map pattern analysis, and programmatic matching of any unidentified form images of the document to a pre-configured form of a transaction company stored in a library, to assist in the creating of a template; creating the template based on one or more data fields each having a plurality of handwritten data in a form that is selected based on the transaction company business requirements; mapping to a data dictionary library that defines industry standards of the business of the transaction company to assure all information requirements are met in the template; and sending, based on the template, selected handwritten data from the plurality of handwritten data to one of a plurality of data operators to determine the handwritten data and provide digital data of the same, wherein said digital data is provided within one minute of receipt by the data operator, using a data management system for managing each of the plurality of handwritten data and the sending of each of the plurality of handwritten data to a different one of the plurality of data operators; managing the sequencing of the plurality of the handwritten data to the plurality of data operators; using the data management system for sending the selected handwritten data to a different one of the plurality of data operators when said digital data is not provided within one minute of receipt by the data operator; and storing the digital data in a shredded data warehouse in an out of context format, so that no non-public information can be determined until the information is placed into context even if unauthorized access occurs.