Unit 4 P3 Business

Data is a group of information that are used for various purposes like analysis, evaluations and to arrive at certain results or conclusions. Data reporting is a process where data is extracted form a source or many sources and then converted into a format that can be used for a purpose.

Qualitative data is a kind of data that cannot be used in identical way as Quantitative so it is viewed in a narrative form. This can be used to only observe the data for example John Lewis have to ask customer how they feel about their shop and then record the response rather than customers telling you out of nowhere as they will not know, this will give time of how they feel about it when they answer the question. There are few data that can be seen but cannot be measured such as seeing the product instead of describing it. This type of information can be used in John Lewis if customers want to know which products are popular in stock. Most of them will have their own opinion on the product. Businesses like John Lewis may want to include

In sociology and the study of deviance we studied the different methodologies used to obtain information about a topic. The point of research is to explain something or to answer a question. Quantitative data deals with numerical information obtained through surverys, observations, experiments, and other statistical methods. Quantitative data is often perferred because of its larger sample sizes, the deep understandings gained from results, and the generalizations that can be made about a topic. Quantitative data is also preferreed often times because the results are easier to understand when a number or measurable value is assigned to it. Some disadvantages of quantitative data stems from it not always having secondary data to refer and

When quantitative types of data are not sufficient a different approach would be taken such as interviews or constructive representations such as reviews – they are rather opinions and views not factual data. This is called qualitative information which provides information which is richer and in more depth than quantitative. This type of evidence is valuable for describing how and why.

Qualitative techniques can yield more valid results of primary data. Although this technique is relatively expensive method, it can useful in conducting unstructured individual or group.

Qualitative data: data that are based on observations (interviews and document analysis) not numerical data. By observing the students reading their books, I was able to collect qualitative data to show how well the students grasped the concept.

Information is very important when used in organisations. Organisations need to have accurate and quality information so the information is reliable. There is Date and Information, Data is raw facts or figures that have not yet been processed, data is things such as times, weights, measurements and scales. Information is data that is useable, such as TV listings, bus timetables. Etc. there are two types of data, Qualitative date and Quantitative data.

The notions of data, information as well as their flows are interconnected; however, many people use them as synonyms. Nevertheless, there are significant differences that need to be addressed. Thus, data is a raw piece of information, so to speak; it reflects a certain aspect of reality. A good example of data is the table that shows, which smart-phones are equipped with NFC and which are equipped with Bluetooth LE. The importance of it lies in the fact that Apple iPhone 5 is not equipped with NFC and that is mere a piece of data. Information is data that has been processed and given a certain meaning. In other words, it engaged the data, but allows a person to make more sense of it. If one takes a look at the example which was mentioned more, it is an important piece of information that Apple iPhone 5 does no support NFC: this means that a certain part of the Starbucks visitors will not be able to able to use the mobile payment option that is based on this kind of technology. With this in mind, it become obvious that Bluetooth LE is much more preferable. Speaking of flows, one should note that they represent data and information in progress. For example, a flow of data should reflect the number of customer served daily in Starbucks Canada. However, if this data is properly processed, it will result in information flow, which might take a form of

Qualitative data are disparaged by many researchers because they are considered to be too "soft"; that is, because they are embody subjective elements in them. Certainly it is true that subjective data would be far from useful in many cases: One would not want to take a vaccination that had been approved by researchers who had never bothered to make precise measurements about the appropriate dosages. But, alternatively, one would never want objective data about what a poem means for the simple reason that there simply are no

They can enter computers through network cables or a wireless connection and make off with valuable information. Data is the collection of raw facts i.e. information in an organised form (Singh and Bhatia 2008). This data may be in the form of alphabets, numeric, images, audios or videos. These can be seen as operational or transactional data, non-operational data and Meta data which are collected and stored in organisational systems. Handling such data must be the priority of everyone – staff, management and customers.

Data: Data is processed through systems, this data is processed so that it can be useful; it can be used by organizations to base their decision making on it. This is very important to organizations, after analysing data, organizations can forecast the future, and make changes so that they become more successful. Organizations are able to react quickly to changing markets, so they don’t fall behind competitors. An example of this would be if a retail business sees that a product isn’t selling as well as it should, they can decide that they should buy more of that product, as it wouldn’t be cost-effective. When data is processed by computer system, it changes to become information, information is basically just data with added context so that it makes a much more clear purpose.

Data can be defined as the quantitative or qualitative values of a variable. Data is plural of datum which literally means to give or something given. Data is thought to be the lowest unit of information from which other measurements and analysis can be done. Data can be numbers, images, words,

Information: Information refers to data that provides a meaningful connection between them. Here, data refers to the collection that can be processed to provide useful answers which leads to an increase in knowledge.

In the context of meaning, data is something plain, raw, unorganized facts that need to process to be meaningful while information is a collection of many data that is meaningful to the user. For example, the score of science test, date of birthday,

INTRODUCTION:DATA :- Data is a collection of facts, which is in unorganized but they can be organized into useful form. Data is of two types :1.Raw Data :- It is a Data which are collected from different sources and has no meaning. ` 2. Derived Data :- It is a data that are extracted from Raw Data and used for getting useful information. Derived Data is called as INPUTDATA. INPUT DATA is processed to get the OUTPUT data. The OUTPUT DATA is called as INFORMATION. The database today may contain either data or information. The term data and information are closely related.