Difference between data, information and knowledge and characteristics of quality data.

Question

Want to see more full solutions like this?

Answer 1

Question

Chapter 1, Problem 1LO

Program Plan Intro

Difference between data, information and knowledge and characteristics of quality data.

Expert Solution & Answer

Explanation of Solution

Most of the people get confused with the data and information. Data can be anything or you can say any raw fact. Data can be in the form of numbers, pictures, and words. We cannot get exact information out of the data. Data is unprocessed, unorganized and can be in any random format but when that data is processed and organized it gives information when some context or meaningful words are added to the data and form the related information. You can say data is integrated and organized so that it is used by people in the form of information. On the other hand, knowledge is something we gain after processing the valuable information.

To make it clearer, let us take an example of a match. Suppose we have data as 68 and 70. We cannot get anything out of these numeric values. Now, by adding some context with these numeric values such as Team 1-68 and Team 2-70, we get information that Team 1 has scored 68 and Team 2 has scored 70. Now, from this information we can do comparison to gain knowledge that Team 2 has scored more and thus must have won the match.

Different characteristics of quality data are:

The first characteristic is that of Accuracy. Quality data should be accurate in context with for what purpose it is required.

Validity is another characteristic of quality data. Data should be valid in accordance to the requirements.

Timeliness is another characteristic of Quality data. Data should be collected at the time when it is needed. Data collected early or late can lead to incorrect results.

Completeness is an important characteristic of quality data. Data should always be complete because incomplete data cannot get the desired results.

Consistency: Data should be consistent. Data should not contradict at different sources.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Students have asked these similar questions

This battle room is focused on entry level tasks for a network analyst where you will be given trials and reconnaissance, sensor tuning, log aggregation, SIEM queries, and network analysis. For this week’s project, complete the following tasks: From your Project Ares portal, LOG IN Click on LAUNCH GAME. Select the region NORTH AMERICA Click on Battle School Under the BATTLE SCHOOL pop-up window, click on START TRAINING. Under the BATTLE ROOMS tile, click on ENTER. Under the NETWORK ANALYST tile, click on PLAY. Wait for the Battle Room to load. While loading, the BATTLE ROOM button will display red. Once the Battle Room is loaded, the BATTLE ROOM button will turn yellow and the center of the disk display will indicate CONNECTED. Click on the BATTLE ROOM button to enter the Battle Room. Below the TASKS folder, make sure you click on INSTRUCTIONS to download the Network Analyst Fundamentals material. In the Battle Room, under the TASKS menu select task INTRUSION DETECTION. Complete…

Create a relationship between the common field (Technician Number) of the two tables. Make sure that each client must have 1 and only 1 technician assigned, and each technician can have multiple clients. 2. Create a query to show the Client Number, Client Name, Billed, Paid for clients in Anderson city. Save the query. 3. Create a query to show the Technician Number, Last Name, First Name, YTD Earnings for technicians whose Hourly Rate is greater than or equal to 30. Save the query. 4. Create a query to show Client Number, Client Name, Billed, Paid for clients whose technician number is 22 and whose Billed is over 300. Save the query. 5. Create a query to show the Technician Number, Last Name, First Name, Client Number, Client Name for clients whose technician number 23. Save the query. 6. Create a query to show the Technician Number, Last Name, First Name, Client Number, Client Name for clients whose technician number 23 or 29. Save the query Help please Microsoft office access

Dijkstra's Algorithm (part 1). Consider the network shown below, and Dijkstra’s link-state algorithm. Here, we are interested in computing the least cost path from node E (note: the start node here is E) to all other nodes using Dijkstra's algorithm. Using the algorithm statement used in the textbook and its visual representation, complete the "Step 0" row in the table below showing the link state algorithm’s execution by matching the table entries (i), (ii), (iii), and (iv) with their values. Write down your final [correct] answer, as you‘ll need it for the next question.

Answer 2

Question

Chapter 1, Problem 1LO

Program Plan Intro

Difference between data, information and knowledge and characteristics of quality data.

Expert Solution & Answer

Explanation of Solution

Most of the people get confused with the data and information. Data can be anything or you can say any raw fact. Data can be in the form of numbers, pictures, and words. We cannot get exact information out of the data. Data is unprocessed, unorganized and can be in any random format but when that data is processed and organized it gives information when some context or meaningful words are added to the data and form the related information. You can say data is integrated and organized so that it is used by people in the form of information. On the other hand, knowledge is something we gain after processing the valuable information.

To make it clearer, let us take an example of a match. Suppose we have data as 68 and 70. We cannot get anything out of these numeric values. Now, by adding some context with these numeric values such as Team 1-68 and Team 2-70, we get information that Team 1 has scored 68 and Team 2 has scored 70. Now, from this information we can do comparison to gain knowledge that Team 2 has scored more and thus must have won the match.

Different characteristics of quality data are:

The first characteristic is that of Accuracy. Quality data should be accurate in context with for what purpose it is required.

Validity is another characteristic of quality data. Data should be valid in accordance to the requirements.

Timeliness is another characteristic of Quality data. Data should be collected at the time when it is needed. Data collected early or late can lead to incorrect results.

Completeness is an important characteristic of quality data. Data should always be complete because incomplete data cannot get the desired results.

Consistency: Data should be consistent. Data should not contradict at different sources.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 3

Question

Chapter 1, Problem 1LO

Program Plan Intro

Difference between data, information and knowledge and characteristics of quality data.

Expert Solution & Answer

Explanation of Solution

Most of the people get confused with the data and information. Data can be anything or you can say any raw fact. Data can be in the form of numbers, pictures, and words. We cannot get exact information out of the data. Data is unprocessed, unorganized and can be in any random format but when that data is processed and organized it gives information when some context or meaningful words are added to the data and form the related information. You can say data is integrated and organized so that it is used by people in the form of information. On the other hand, knowledge is something we gain after processing the valuable information.

To make it clearer, let us take an example of a match. Suppose we have data as 68 and 70. We cannot get anything out of these numeric values. Now, by adding some context with these numeric values such as Team 1-68 and Team 2-70, we get information that Team 1 has scored 68 and Team 2 has scored 70. Now, from this information we can do comparison to gain knowledge that Team 2 has scored more and thus must have won the match.

Different characteristics of quality data are:

The first characteristic is that of Accuracy. Quality data should be accurate in context with for what purpose it is required.

Validity is another characteristic of quality data. Data should be valid in accordance to the requirements.

Timeliness is another characteristic of Quality data. Data should be collected at the time when it is needed. Data collected early or late can lead to incorrect results.

Completeness is an important characteristic of quality data. Data should always be complete because incomplete data cannot get the desired results.

Consistency: Data should be consistent. Data should not contradict at different sources.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 4

Question

Chapter 1, Problem 1LO

Program Plan Intro

Difference between data, information and knowledge and characteristics of quality data.

Expert Solution & Answer

Explanation of Solution

Most of the people get confused with the data and information. Data can be anything or you can say any raw fact. Data can be in the form of numbers, pictures, and words. We cannot get exact information out of the data. Data is unprocessed, unorganized and can be in any random format but when that data is processed and organized it gives information when some context or meaningful words are added to the data and form the related information. You can say data is integrated and organized so that it is used by people in the form of information. On the other hand, knowledge is something we gain after processing the valuable information.

To make it clearer, let us take an example of a match. Suppose we have data as 68 and 70. We cannot get anything out of these numeric values. Now, by adding some context with these numeric values such as Team 1-68 and Team 2-70, we get information that Team 1 has scored 68 and Team 2 has scored 70. Now, from this information we can do comparison to gain knowledge that Team 2 has scored more and thus must have won the match.

Different characteristics of quality data are:

The first characteristic is that of Accuracy. Quality data should be accurate in context with for what purpose it is required.

Validity is another characteristic of quality data. Data should be valid in accordance to the requirements.

Timeliness is another characteristic of Quality data. Data should be collected at the time when it is needed. Data collected early or late can lead to incorrect results.

Completeness is an important characteristic of quality data. Data should always be complete because incomplete data cannot get the desired results.

Consistency: Data should be consistent. Data should not contradict at different sources.

Want to see more full solutions like this?

Subscribe now to access step-by-step solutions to millions of textbook problems written by subject matter experts!

Answer 5

Chapter 1, Problem 1LO

Program Plan Intro

Difference between data, information and knowledge and characteristics of quality data.

Expert Solution & Answer

Explanation of Solution

Most of the people get confused with the data and information. Data can be anything or you can say any raw fact. Data can be in the form of numbers, pictures, and words. We cannot get exact information out of the data. Data is unprocessed, unorganized and can be in any random format but when that data is processed and organized it gives information when some context or meaningful words are added to the data and form the related information. You can say data is integrated and organized so that it is used by people in the form of information. On the other hand, knowledge is something we gain after processing the valuable information.

To make it clearer, let us take an example of a match. Suppose we have data as 68 and 70. We cannot get anything out of these numeric values. Now, by adding some context with these numeric values such as Team 1-68 and Team 2-70, we get information that Team 1 has scored 68 and Team 2 has scored 70. Now, from this information we can do comparison to gain knowledge that Team 2 has scored more and thus must have won the match.

Different characteristics of quality data are:

The first characteristic is that of Accuracy. Quality data should be accurate in context with for what purpose it is required.

Validity is another characteristic of quality data. Data should be valid in accordance to the requirements.

Timeliness is another characteristic of Quality data. Data should be collected at the time when it is needed. Data collected early or late can lead to incorrect results.

Completeness is an important characteristic of quality data. Data should always be complete because incomplete data cannot get the desired results.

Consistency: Data should be consistent. Data should not contradict at different sources.

Answer 6

Chapter 1, Problem 1LO

Program Plan Intro

Difference between data, information and knowledge and characteristics of quality data.

Expert Solution & Answer

Explanation of Solution

Most of the people get confused with the data and information. Data can be anything or you can say any raw fact. Data can be in the form of numbers, pictures, and words. We cannot get exact information out of the data. Data is unprocessed, unorganized and can be in any random format but when that data is processed and organized it gives information when some context or meaningful words are added to the data and form the related information. You can say data is integrated and organized so that it is used by people in the form of information. On the other hand, knowledge is something we gain after processing the valuable information.

To make it clearer, let us take an example of a match. Suppose we have data as 68 and 70. We cannot get anything out of these numeric values. Now, by adding some context with these numeric values such as Team 1-68 and Team 2-70, we get information that Team 1 has scored 68 and Team 2 has scored 70. Now, from this information we can do comparison to gain knowledge that Team 2 has scored more and thus must have won the match.

Different characteristics of quality data are:

The first characteristic is that of Accuracy. Quality data should be accurate in context with for what purpose it is required.

Validity is another characteristic of quality data. Data should be valid in accordance to the requirements.

Timeliness is another characteristic of Quality data. Data should be collected at the time when it is needed. Data collected early or late can lead to incorrect results.

Completeness is an important characteristic of quality data. Data should always be complete because incomplete data cannot get the desired results.

Consistency: Data should be consistent. Data should not contradict at different sources.

Answer 7

Chapter 1, Problem 1LO

Program Plan Intro

Difference between data, information and knowledge and characteristics of quality data.

Answer 8

Expert Solution & Answer

Explanation of Solution

Most of the people get confused with the data and information. Data can be anything or you can say any raw fact. Data can be in the form of numbers, pictures, and words. We cannot get exact information out of the data. Data is unprocessed, unorganized and can be in any random format but when that data is processed and organized it gives information when some context or meaningful words are added to the data and form the related information. You can say data is integrated and organized so that it is used by people in the form of information. On the other hand, knowledge is something we gain after processing the valuable information.

To make it clearer, let us take an example of a match. Suppose we have data as 68 and 70. We cannot get anything out of these numeric values. Now, by adding some context with these numeric values such as Team 1-68 and Team 2-70, we get information that Team 1 has scored 68 and Team 2 has scored 70. Now, from this information we can do comparison to gain knowledge that Team 2 has scored more and thus must have won the match.

Different characteristics of quality data are:

The first characteristic is that of Accuracy. Quality data should be accurate in context with for what purpose it is required.

Validity is another characteristic of quality data. Data should be valid in accordance to the requirements.

Timeliness is another characteristic of Quality data. Data should be collected at the time when it is needed. Data collected early or late can lead to incorrect results.

Completeness is an important characteristic of quality data. Data should always be complete because incomplete data cannot get the desired results.

Consistency: Data should be consistent. Data should not contradict at different sources.