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Electronic data processing (EDP) or business information processing can refer to the use of automated methods to process commercial data. Typically, this uses relatively simple, repetitive activities to process large volumes of similar information.
The term EDI encompasses the entire electronic data interchange process, including the transmission, message flow, document format, and software used to interpret the documents. However, EDI standards describe the rigorous format of electronic documents , and the EDI standards were designed, initially in the automotive industry , to be ...
Metadata, data about data, can be used to organize electronic resources, provide digital identification, and support the archiving and preservation of resources. In well-structured, machine-readable electronic records, the content can be repurposed as both data and metadata. In the context of electronic record-keeping systems, the terms ...
PDF (Portable Document Format): A cross-platform printing and distribution format which permits content searches, the addition of metadata, and the embedding of electronic signatures. When generated from electronic data, PDFs are resolution-independent and allow crisp reproduction at any scale.
Forms processing is a process by which one can capture information entered into data fields and convert it into an electronic format. This can be done manually or automatically, but the general process is that hard copy data is filled out by humans and then "captured" from their respective fields and entered into a database or other electronic format.
Data processing is the collection and manipulation of digital data to produce meaningful information. [1] Data processing is a form of information processing , which is the modification (processing) of information in any manner detectable by an observer.
The normalization of output files to text-based PDF format is now another critical factor in long-term archival of proprietary electronic file formats. Normalization expands access and usage of files to users throughout the enterprise, rather than only those that created the original electronic file.
Extract, transform, load (ETL) is a three-phase computing process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collected from one or more sources and it can also be output to one or more destinations.