what is data processing differentiate between data and information?
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Data is raw, unorganized facts that need to be processed. Data can be something simple and seemingly random and useless until it is organized. When data is processed, organized, structured or presented in a given context so as to make it useful, it is called information.
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Raw facts gathered about a condition, event, idea, entity or anything else which is bare and random, is called data. Information refers to facts concerning a particular event or subject, which are refined by processing. Data are simple text and numbers, while information is processed and interpreted data.
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Data is a collection of facts, such as numbers, words, measurements, observations or just descriptions of things.
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The terms "data" and "information" are sometimes misinterpreted as referring to the same thing. However, they are not the same. ... Information is data that was processed so a human can read, understand, and use it. The "P" in CPU stands for "processing," specifically, data processing.
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Data transforms into information by assigning a meaning or context to a date. ... The moment the information is processed, linked and stored, whether by a machine or a human being, it becomes knowledge. If you trace the path back, the data represents the knowledge and information at a formal level.
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As nouns the difference between meaning and information is that meaning is the symbolic value of something while information is things that are or can be known about a given topic; communicable knowledge of something.
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Data is a collection of information such as observations, measurements, facts, and descriptions of certain things. ... On the other hand, Metadata, often defined as “data on data”, refers to specific details on these data. It provides granular information on one specific data such as file type, format, origin, date, etc.
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Data refer to basic values or facts, while information consists of organized data used to answer questions or solve problems.
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The Difference Between Data and Statistics data are individual pieces of factual information recorded and used for the purpose of analysis. It is the raw information from which statistics are created. Statistics are the results of data analysis - its interpretation and presentation.
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What is the relationship among data, information, and an information system? Data are facts that are collected in a "raw" form and made meaningful through processes such as sorting, aggregating, classifying, mathematically manipulating, and summarizing. The meaningful data is considered to be information.
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Data provides evidence, software provides a tool. Software exists to perform a task, while data does not. Software is fundamentally a logical construct, while data is fundamentally an empirical observation. Software can be used to express or explain processes and concepts, oftentimes with data as input.
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The terms "data" and "information" are sometimes misinterpreted as referring to the same thing. However, they are not the same. Data is a collection of values. ... Information is data that was processed so a human can read, understand, and use it.
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Data are raw facts, while information is data that has meaning. Business intelligence is collective information that gives you the ability to make strategic business decisions. ... An information literate knowledge worker knows all about information; that is, he/she understands the value and role of information.
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Data is defined as facts or figures, or information that's stored in or used by a computer. An example of data is information collected for a research paper.
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Raw data is the data that is measured and collected directly from machine, web, etc. They are usually not in the format that are ready to perform analysis. The processed data is the type of data that is processed from raw data. ... Raw data is the data that is measured and collected directly from machine, web, etc.
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What is the primary difference between information and business intelligence? Information primarily focuses on internal variables. BI manipulates multiple variables including both internal and external variables.
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Data, Information, Knowledge, and Wisdom. ... Information: data that are processed to be useful; provides answers to "who", "what", "where", and "when" questions. Knowledge: application of data and information; answers "how" questions. Understanding: appreciation of "why" Wisdom: evaluated understanding.