08 Nov Reliability of Data Protection
The term « reliability » refers to processes that guarantee that personal data is gathered legally, safely stored and never used or shared in violation of a person’s rights. It includes everything from ensuring that data collection tools conform to industry standards to training data collectors, and creating clear guidelines for the management of data.
It is important to differentiate between data reliability (such as whether the same outcome could be obtained in the event of a repeat measurement) and data validity (such as whether it accurately measures what it is intended to measure). While data reliability is focused on consistency (such as whether the same result could be achieved in the event of a repeat measurement) However, data validity is more concerned about the accuracy of the data (like whether it accurately measures what it meant to measure).
Unreliable data may have adverse consequences. If a company is relying on insufficient data to make decisions, it may end up wasting money, or investing in unprofitable initiatives. It can also undermine trust between customers, employees and partners. In some cases, the use of inaccurate data could have legal and regulatory ramifications.
Reliable data collection is a complex endeavor, however there are numerous ways to do so. Adopting standard methods, educating the data collectors, and supplying reliable tools are among the most efficient methods. It is also essential to create clear data retention policies and establish feedback loops to allow data users to report errors. In addition, it is essential to maintain the integrity of data by ensuring that all systems are back up and the recovery and backup processes function according to plan.
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