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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.
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.
Data analysis; Data classification (business intelligence) Data entry; Data entry clerk; Data onboarding; Data processing (disambiguation) Data processing inequality; Data processing machine; Data processing unit; Data reporting; Data scraping; Data sonification; Data validation; Disaggregated storage; DOME MicroDataCenter; DOME project
An electronic document is a document that can be sent in non-physical means, such as telex, email, and the internet. [1] Originally, any computer data were considered as something internal—the final data output was always on paper.
Electronic data interchange (EDI) is the concept of businesses electronically communicating information that was traditionally communicated on paper, such as purchase orders, advance ship notices, and invoices. Technical standards for EDI exist to facilitate parties transacting such instruments without having to make special arrangements.
These vendors have historically provided electronic document management systems and have acquired smaller records management system companies. The seamlessness of the integration and the original intention of the records-management component to manage electronic records typically sets the complexity of deploying and potentially of using the ...
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.
In the past some areas in information engineering such as signal processing used analog electronics, but nowadays most information engineering is done with digital computers. Many tasks in information engineering can be parallelized, and so nowadays information engineering is carried out using CPUs, GPUs, and AI accelerators.