File Name: differences between data and information .zip
The words Data and Information may look similar and many people use these words very frequently, But both have lots of differences between them. It is not enough to have data such as statistics on the economy. Data themselves are fairly useless, but when these data are interpreted and processed to determine its true meaning, they becomes useful and can be named as Information. Information is data that has been processed in such a way as to be meaningful to the person who receives it. Data is the term, that may be new to beginners, but it is very interesting and simple to understand.
Data and Information are interrelated, as the data is the basic building block for the latter. But, there are various key points that differ from each other.
Data is something that you can consider as a low level of knowledge. In this, you have some scattered, uncategorized, unorganized entities that do not really mean anything. Whereas Information is the second level of knowledge where you wire up the data and assign it some context. So, the data becomes meaningful. Most people are aware of the data and information, but still, there is some ambiguity in people about what is the difference between the data and information.
In this article, I am going to provide a brief explanation of what data and information are. So, before differentiating the two on the basis of several factors, let me first throw some light on what data and information are. As for the above example, the data is raw and there is no meaning to it but if we organize this data:.
Now, this looks like an Address of the person named Will Turner. Whereas, in the above example it is impossible to make out the meaning of the words. To plan accurately, a business must know the resources it has. Example: People, Properties, clients, customers, dealers, Types of machinery, Accounts, etc. With all the above information, it becomes easier for the business to look into the market and plan strategies to overtake the actions of the competitors.
Recording of each transaction and event is a must for a business. It is important to record the information like the expenses and income as per the law for the management of the taxes. If we say in other contexts like school and universities keep track of the number of admissions per year and the number of students that pass out per year to make further decisions.
You can utilize this information for analysis purposes. The analysis includes the sales, costs, and profits, to name a few. The analysis gives a broad figure of the overall profit or loss of the organization. Based on this analysis, the business can make decisions that will optimize the costs and profits in the best way.
Once a business has all the record data and the overall analysis, then it will be easier for it to control and enhance the resources. Hence, the information helps in identifying whether things are going better or worse than the expectations. Now, you have an understanding of data and information. Let me explain the ten key difference points between both with some real-life examples. The very first key difference between the data and information depends on the significance.
Information is significant. Whereas, the data is not significant. It means that stand-alone data is of no use.
There is no meaning that can be derived from raw data and it cannot be utilized anywhere. On the other hand, Information is significant as it has some context and provides some meaning. The information allows taking some action on behalf of it. For example, the costs and selling statistics of a product of an E-commerce website when presented in the raw tabular form is not significant.
But, when this data is represented within the context of the target customer and the behavior of the customer of purchasing or not purchasing the product. Then these stats become significant as a decision can be taken out on this information.
You can visualize data in a structured form such as tabular data, data tree, data graph, etc…. In the tabular format, there is a table with different rows and columns and each column or row represents a data entity. The data tree format stimulates a hierarchical tree structure with a root node and a number of child nodes. A data graph is a graphical representation of the data as a bar chart, line chart, or pie chart. The figure below depicts the data graph.
Now, coming to the point of information. Information is seen as Language, ideas, and thoughts that are based on the data. The data is in raw form. Basically, the data is in the form of numbers, letters, or a set of characters.
It also includes symbols, pictures, or audio data. This raw data is scattered and is not aligned with some context. Whereas Information is in the form of ideas and inferences or conclusions that are based on the data. The raw data is analyzed and organized in whatever context and only the necessary data is kept and the rest is discarded.
To convert this data into information we need to keep it in some context. If we talk in the term of reliability, then obviously the information wins on this. The information is reliable as it conveys some meaning and there are proper organization and dedication to a single context. On the other hand, data is raw and can be provided in any context. Moreover, with every context and structure the output or the meaning of the data changes. Hence, the data is unreliable when compared to Information.
When it is in the form of the date of birth i. This has a clear context. But if we consider the number only, then it converts into any form and provides a number of meanings that change according to the context. In the terms of dependency, the data is independent. As you know the data is raw and data can contain anything. Hence, the data does not depend on any sort of condition or circumstances.
It can stand alone. But, the information depends completely on the data. You cannot process the information without the data. Data is a very basic building block of information. This is the easiest way to differentiate between the two. Data is something that you give as input for processing.
After processing, what you get as output is the information. You provide different photographs that you want to arrange in the collage as the input to the application. After providing the images, they are processed and aligned according to the chosen theme.
In the end, you get a single collage image as the output from the application. To take a decision on a situation, the very first thing is that you must know and understand the conditions and the circumstances correctly. This is possible only if you have the correct information.
Information plays a vital role in the process of decision making. The actions that a person takes are based on the information that they have. But if we say about data, as data is raw and is meaningless so it is useless in decision making. You can not make a decision on the basis of raw facts and figures. And if you do so, then there is a high priority that the decision may be wrong as it will rely on assumptions. Data is based on observations and records.
The statistics and the tables of collections of figures are the sources of data. And the source of information is data. Moreover, the information is based on the context that is in the alignment of data. The Data is never analyzed in its initial form. Once data is analyzed nor the analysis of data is done, the data becomes information at the same moment.
It means that the information is always analyzed, whereas the data is never in the analyzed form. Once the data is analyzed, it is converted into information. The last term of differentiation is a matter of usefulness.
Both the data and information are useful in their own terms as the data is the base to create the information. Without data, there is no information. But if you see it from the perspective of a business, then, the data is not so much important. This is so because there is a whole lot of processing needs to be done on data to make it useful or understand something out of it.
On the other hand, Information is always useful as it provides some meaning for further decision making. In this article, you understood what data and information are and what are the various differences between data and information. Jump to Section. Author Recent Posts. Dhruv Kohli. Latest posts by Dhruv Kohli see all. What is Web Scraping?
Data and Information are interrelated, as the data is the basic building block for the latter. But, there are various key points that differ from each other. Data is something that you can consider as a low level of knowledge. In this, you have some scattered, uncategorized, unorganized entities that do not really mean anything. Whereas Information is the second level of knowledge where you wire up the data and assign it some context. So, the data becomes meaningful.
The difference between data and information. • What a database is, the various types of databases, and why they are valuable assets for decision making.
Unlike data, Information serves to be meaningful facts, figures and values that can be used for deriving benefit, creating reports, making decisions or filing away data for historical usage. As more and more elements are added, higher levels of information can be attained. The article will be depicting a comparative chart and tabulated points to explain the basis of differentiation in context to data vs information as well.
When study ing ICT it is important to understand the difference between "data" and "information".
Data is a raw and unorganized fact that required to be processed to make it meaningful. Data can be simple at the same time unorganized unless it is organized. Generally, data comprises facts, observations, perceptions numbers, characters, symbols, image, etc.
The main difference between Data and Information is that Data is the random, unorganized raw fact about something that needs to be organized before its use whereas Information is the data that has been processed and organized into a useful context. Collection of data is first and foremost important task during any type of research. Data indicates the statistics or facts collected by the researcher for analysis in their original form.
Research process starts with the collection of data, which plays a significant role in the statistical analysis. However, in general, it indicates the facts or statistics gathered by the researcher for analysis in their original form. While data is an unsystematic fact or detail about something, information is a systematic and filtered form of data, which is useful. In this articl, you can find all the important differences between data and information. Basis for Comparison Data Information Meaning Data means raw facts gathered about someone or something, which is bare and random. Facts, concerning a particular event or subject, which are refined by processing is called information. What is it?
But where does information come from? The technology ecosystem is data-driven and finding value in data is becoming critical for successful businesses, which is the topic at hand for this article: data and information. We cover data vs information to better understand their interdependence, their points of difference, and how one cannot exist without the other. Regardless of industry, data is driving the future and a massive number of technologies across multiple industries heavily depend on it to thrive. Data left alone is not very informative and in that sense, it is relatively meaningless, but it gains purpose and direction after it is interpreted to derive significance.
Download learn to speak english like a native pdf joseon royal court culture pdf freeQuennel L. 17.12.2020 at 06:54
Lawn boy repair manual pdf daily agenda pdf with objective and homework for the month for high school