The term «reliability» is the term used to describe processes that ensure that personal information is collected legally, safely stored and not shared or used in violation of the rights of a person. It encapsulates everything from ensuring that data collection tools conform to industry standards, educating data collectors, and setting clear guidelines for data management.
It is important to differentiate between data reliability (such as whether the same result could be obtained by repeating the measurement) and data validity (such as whether it accurately measures what it was meant to measure). While data reliability is focused on consistency (such as whether the exact result could be achieved by repeating the measurement), data validity is more concerned about the accuracy of the data (like whether it accurately measures what it is intended to measure).
Unreliable data may have adverse consequences. If a company is relying on non-reliable data to make its decisions, it could result in wasting money or investing in unsuccessful initiatives. It can also erode trust among customers, employees and partners and cause a lack of accountability. In some cases the use of unreliable data could have legal or regulatory implications.
There are a variety of ways to increase the reliability of data. Some of the most effective strategies are adopting standard procedures, educating data collectors and offering reliable tools. It is also crucial to establish feedback loops that allow data users to report any errors. It’s also crucial to keep integrity of data by ensuring that the backup of all systems is done correctly and recovery processes are working as intended.
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