The correct answer is C. Introducing erroneous data to see if it's detected.
This method is not suitable for assuring the quality of data collected by a third-party company because it involves intentionally introducing false data, which could create confusion, legal issues, or harm the integrity of the data set. The other methods—verifying accuracy, validating procedures, and tracking changes through auditing—are all legitimate ways to ensure data quality.
The answer is C.
The method that is NOT suitable for assuring the quality of data collected by a third-party company is C. Introducing erroneous data to see if it’s detected. While it might seem like a way to test the system, intentionally introducing incorrect data can lead to unintended consequences and potentially harm the accuracy and reliability of the collected information. Instead, focus on other methods like verifying accuracy, validating procedures, and tracking changes through auditing to ensure data quality.
C. Introducing erroneous data to see if it's detected.
Introducing erroneous data to see if it's detected is not a suitable method for assuring the quality of data collected by a third-party company. This approach is likely to introduce additional errors into the data and may not provide a reliable measure of the quality of the data. Suitable methods for assuring the quality of data collected by a third-party company include verifying the accuracy of the data by contacting users, validating the company's data collection procedures, and tracking changes to data through auditing. These methods can help to ensure that the data collected is accurate, complete, and reliable, which is important for making informed decisions based on that data.
Why not "B" " Introducing erroneous data to see if its detected."?
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