Reliability of data protection is the process of ensuring that data is accurate complete, secure, and safe throughout its entire lifecycle, from creation to archival or deletion. This includes safeguarding against unauthorised access to data, corruption, and mistakes by using strong security measures, audits and checksum validations. Reliability of data is essential to enabling confident and informed decision-making. It allows organizations to use data to create business impact.
The accuracy of data could be shaky due to a variety of reasons, including:
Data Source Credibility. The trustworthiness of a dataset and its credibility are heavily influenced by its provenance. Credible sources have a track record of producing reliable data. They are verified through peer reviews, expert validations or conformity to industry standards.
Human errors Recording and data entry errors can cause inaccuracies to the data, reducing its reliability. Standardized processes and training are key to preventing these errors.
Backup and Storage A backup plan, like 3-2-1 (3 copies on two local devices and one offsite) reduces the chance of data loss due to natural disasters or hardware failures. Physical integrity is a different aspect to consider. Organizations that employ multiple technology vendors must ensure that the physical integrity of their data systems can be safeguarded and maintained.
Reliability of data is a complicated issue the most important thing being that a company is using reliable and high-quality data to drive decisions and generate value. To achieve this, companies must create confidence in data and ensure that their processes are designed to yield trustworthy results, including adopting standardized methodologies, training data collectors, and offering reliable tools.
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