Data protection reliability is the methods to ensure that personal data is stored legally and in a secure manner, never shared with others or used in violation of an individual’s rights. It includes everything from ensuring data collection tools adheres to industry standards, to the education of data collectors, as well as creating clear guidelines for managing data.
It’s important to distinguish between data reliability and data validity, as they have distinct implications for the business. While data reliability is focused on consistency (such as whether the same result could be obtained 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 is meant to measure).
Unreliable data could have numerous negative effects. If a company relies upon non-reliable data to make its decisions, it could result in wasting money or investing in non-profitable initiatives. It could also cause a loss of trust among customers, employees, as well as partners and erode accountability. In certain instances the use of inaccurate information could result in legal or regulatory implications.
Reliable data collection is a complex endeavor, however there are numerous methods to achieve this. Some of the most effective strategies are using standard methods, training data collectors and offering reliable tools. It’s also crucial to establish clear data retention policies and create feedback loops that allow users to report errors. It’s also crucial to maintain integrity of data by ensuring that the backup of all systems is done correctly and that backup and recover processes are working as intended.