Many people who work in the IT industry know the saying - Garbage In = Garbage Out.
What most people who use computers to sort and process information understand is the quality of information into the computer and the quality of what the humans tell the computer to do with the information directly affects the quality of information out of the computer.
output device
Information overload
Information overload occurs when there is an excessive amount of information that makes it challenging to process, understand, and validate. This can lead to cognitive overload, decreased comprehension, and difficulty in making decisions or taking action based on the information provided. To avoid information overload, it's important to focus on quality over quantity and provide only essential and relevant information.
freedom of information act
That information does not seem to be readily available on the internet. I am not sure, at this point, what difference it makes.
Centralized processing makes it easier to maintain security and standards in addition to making duplication less likely. The biggest disadvantage of centralized processing is that if the system goes down, then all systems may be inaccessible.
A point-of-sales-system
It depends. The CPU is what makes the computer do everything. For example, if you had a word processing program open and you didn't save the information beforehand, that data will probably be lost or permanently corrupted.
The computer is easier to use for data processing because of the copy and paste feature and the ability to save the information. Using a computer is much more efficient and faster than writing things down by hand.
A celeron is a cpu, which makes it a processing device.
In computer science, identifiers (IDs) are lexical tokens that name entities. The concept is analogous to that of a "name." Identifiers are used extensively in virtually all information processing systems. Naming entities makes it possible to refer to them, which is essential for any kind of symbolic processing.
Computer data processing is any computering process that converts datas into information or knowledge. The processing is usually assumed to be automated and running on a computer. Because datas are most useful when well-presented and actually informative, data-processing systems are often referred to as information systems to emphasize their practicality. Nevertheless, the terms are roughly synonymous, performing similar conversions; data-processing systems typically manipulate raw data into information, and likewise information systems typically take raw data as input to produce information as output.Data can be seen as a raw material, which be later coverted to information. i.e For a company that wants to produce bornvita, such company will need to make use of cocoa,which means that cocoa is the raw material for the production of borntiva, likewise data is the raw material for information. Data has to pass through a specific process before it could be changed to information, and it is called a process.Data processing most often refers to computer processes that convert data into information or knowledge. Data processingmay also refer to: * Information processing; the change (processing) of information in any manner detectable by an observer. * Data analysis; processing data with the goal of highlighting, drawing conclusions, and supporting decision making. * Data entry done by a data entry clerk.
1) Processing speed is very fast. 2) Easy documentation. 3) If connected to a network can communicate with other systems thus makes exchange of information very easy.