Middlesex University Week 12 Information and Knowledge Discussion

User Generated

GuhaqreObl26

Computer Science

Middlesex University London

Description

The terms data, information and knowledge are often discussed as a progression. Ask students to identify a number written as such: 4018651000. They will likely have many guesses such as a social security number. Then, ask them to identify the same number if you write it out as follows: (401) 865-1000. They will know it is a phone number. The point is that the data (the raw number) ‘became’ information when it was seen displayed in the proper context. The format provided meaning. However, students only knew this because they had a priori knowledge of what a North American phone number would look like. Engage them in this discussion and then pose the following discussion questions:

a.) Does this mean we can only gather data if we know what to look for? If so, where does knowledge come from?

b.) What implications does this thought have for actual data collection (marketing data)? For instance – how much a priori knowledge must we have to make data gathering useful ?

Your initial post is due by Day 3 of Week 12. You are required to respond to two (2) other student's post by Day 6 of Week 12.

Make sure all your post and responses are minimum of 150 words. APA formatting is required along with scholarly sources.

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Explanation & Answer

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Discussion
This is the era of data science, and the discussion on how data is processed for generating
information and knowledge is appropriate. The 10-digit number example shows how the
presentation of the number reminds users about the different ways numbers are represented in
modern society. Social security number, telephone number, and membership numbers are
common techniques of representing numbers in modern society. These are the most common
ways certain lifestyle endeavors are represented by numbers. There is also the possibility that
more techniques of representing numbers will emerge in the future. These include numbers for
representing devices or device IDs in the Internet of Things worldview, for instance.
From a data science perspective, it is also useful to consider how to make sense of what
they signify. The example also shows how meaning or knowledge could be constructed from the
numbers. Thus, it is useful to consider approaches for generating knowledge from data,
especially for the Big Data phenomenon. Specifically, businesses will find it useful to deploy
techniques to create knowledge for decision-making. For example, employees at a firm could
combine tacit knowledge from their experiences with knowledge generated from analyzing big
data for business decisions, as shown by Sumbal, Tsui, and See-to (2017) for the oil and gas
industry. This could be achieved by deploying data science tools for knowledge generation.

Q#A
Looking for data, which is based on certain knowledge is one characteristic of knowledge
management. For example, coaches looking for new basketball players could look for kids who
are tall and enjoy playing basketball. This is because according to priori knowledge most

basketball players are tall and have excellent ball skills. This technique is relevant for many
endeavors of business practices, for which the knowledge or insights are well defined. Career
development is another area, which could benefit from the application of this technique to
knowledge management. Children with proficiency...


Anonymous
Really useful study material!

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