1. (1) Organize information processing centers environment, the various functions and details Electronic Data Processing (EDP): 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. For example: stock updates applied to an inventory, banking transactions applied to account and customer master files, booking and ticketing transactions to an airline's reservation system, billing for utility services. The modifier "electronic" or "automatic" was used with "data processing" (DP)

2. (1) Organize information processing centers environment, the various functions and details Data processing functions: Validation – Ensuring that supplied data is "clean, correct and useful" Sorting – "arranging items in some sequence and/or in different sets." Summarization – reducing detail data to its main points. Aggregation – combining multiple pieces of data. Analysis – the "collection, organization, analysis, interpretation and presentation of data.". Reporting – list detail or summary data or computed information. Classification – separates data into various categories.

3. (1) Organize information processing centers environment, the various functions and details Data processing system: A data processing system is a combination of machines and people that for a set of inputs produces a defined set of outputs. The inputs and outputs are interpreted as data, facts, information,... depending on the interpreter's relation to the system. A common synonymous term is "information system". Batch data processing systems diagram:

4. (1) Organize information processing centers environment, the various functions and details Types of data processing systems: 1- Scientific data processing Scientific data processing "usually involves a great deal of computation (arithmetic and comparison operations) upon a relatively small amount of input data, resulting in a small volume of output." 2- Commercial data processing Commercial data processing "involves a large volume of input data, relatively few computational operations, and a large volume of output. "Accounting programs are the prototypical examples of data processing applications. Information systems (IS) is the field that studies such organizational computer systems. 3- Data analysis "Data analysis is a body of methods that help to describe facts, detect patterns, develop explanations, and test hypotheses. "For example, data analysis might be used to look at sales and customer data to "identify connections between products to allow for cross selling campaigns."

5. (1) Organize information processing centers environment, the various functions and details Information processing system: An information processor or information processing system, as its name suggests, is a system (be it electrical, mechanical or biological) which takes information (a sequence of enumerated symbols or states) in one form and processes (transforms) it into another form, e.g. to statistics, by an algorithmic process. An information processing system is made up of four basic parts, or sub-systems: 1.input 2.processor 3.storage 4.output