Data processing refers to the process of collecting and manipulating raw data to yield useful information. Data processing is also the conversion of raw data into machine-readable form and its subsequent processing by a computer. On BusinessDictionary.com, WebFinance gives a general definition of data processing as the operations performed on data to obtain useful information in the appropriate form.Continue Reading
Data processing converts the otherwise unusable data into a useful form. It involves data storage, organization, modification and final presentation of the desired information. Processed data comes in the form of reports, diagrams and tables. In computing, processed data comes in audio, video, graphic, diagrammatic, text and numeric forms.
There are various techniques of data processing, including manual, automatic and electronic data processing. Manual data processing is a traditional form of data processing that involves manual data collection and collection, analysis and presentation, such as bookkeeping and census exercises. Automatic data processing is an almost obsolete data processing technique that was mainly done using electromagnetic devices, such as electric accounting machines and unit record equipment. Electronic data processing is the widespread, modern technique of collecting, manipulating, analyzing and presenting data and information. Electronic data processing is also known as computerized data processing.Learn more about Business Resources
Data mining is the practice of automatically searching large stores of data to discover patterns and trends that go beyond simple analysis, according to Oracle. "Business intelligence is an umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance," according to Gartner.Full Answer >
Data analysis is conducted by gathering, processing, inspecting, cleaning, transforming and modeling data. There are a variety of tools that are important for modeling data, including both graphical and quantitative techniques. All data analysis requires a strong understanding of mathematical statistics.Full Answer >
Manual data processing refers to data processing that requires humans to manage and process the data throughout its existence. Manual data processing utilizes non-technological tools, which include paper, writing utensils and physical filing cabinets.Full Answer >
Data integrity testing refers to a manual or automated process used by database administrators to verify the accuracy, quality and functionality of data stored in databases or data warehouses. This test is regularly done by administrators to ensure that stored data has remained unaltered and to discover system design bugs that could compromise the files in a database.Full Answer >