from the information below answer the following:

Data, Information, and Knowledge

There have been many definitions and theories about data,

information, and knowledge. The three terms are often used

interchangeably, although they are distinct in nature. We define and

illustrate the three terms from the perspective of information

systems.

Data $>$ Information $>$ Knowledge $>$ Wisdom

Data are the raw facts, and may be devoid of context or intent. For

example, a sales order of computers is a piece of data. Data can be

quantitative or qualitative. Quantitative data is numeric, the result

of a measurement, count, or some other mathematical calculation.

Qualitative data is descriptive. $$Ruby Red,$$ the color of a $2013$

Ford Focus, is an example of qualitative data. A number can be

qualitative too: if I tell you my favorite number is $5,$ that is

qualitative data because it is descriptive, not the result of a

Information Systems for Business and Beyond $(2019)$ pg$.66$

measurement or mathematical calculation.

Information is processed data that possess context, relevance, and

purpose. For example, monthly sales calculated from the collected

daily sales data for the past year are information. Information

typically involves the manipulation of raw data to obtain an

indication of magnitude, trends, in patterns in the data for a purpose.

Knowledge in a certain area is human beliefs or perceptions

about relationships among facts or concepts relevant to that area.

For example, the conceived relationship between the quality of

goods and the sales is knowledge. Knowledge can be viewed as

information that facilitates action

Once we have put our data into context, aggregated and analyzed it$,$

we can use it to make decisions for our organization. We can say

that this consumption of information produces knowledge. This

knowledge can be used to make decisions, set policies, and even

spark innovation.

Explicit knowledge typically refers to knowledge that can be

expressed into words or numbers. In contrast, tacit knowledge

includes insights and intuitions, and is difficult to transfer to another

person by means of simple communications.

Evidently, when information or explicit knowledge is captured and

stored in computer, it would become data if the context or intent is

devoid.

The final step up the information ladder is the step from

knowledge $($knowing a lot about a topic$)$ to wisdom. We can say

that someone has wisdom when they can combine their

knowledge and experience to produce a deeper understanding of

a topic. It often takes many years to develop wisdom on

Answer this question: Which represents the best example of the correct order?

Question $2$Answer

a$.$

Why are we doing this? $($do not choose this answer$)$

b$.$

Data $>$ Information $>$ Context $>$ Knowledge

c$.$

Context $>$ Data $>$ Knowledge $>$ Wisdom

d$.$

Data $>$ Knowledge $>$ Wisdom