Reliability of data protection is the process of making sure that data is correct, complete, and secure throughout its entire lifecycle, from creation to archival or removal. This includes safeguarding against unauthorized access to data, corruption and errors by utilizing robust security measures, audits and checksum validations. Data reliability is vital to ensure that you can make informed and secure choices, providing organizations with the ability to use data to improve business results.
The reliability of data can be compromised by a range of reasons, including:
Credibility of the Data Source. A dataset’s trustworthiness and credibility are heavily determined by its source. Credible sources are those with a an established track record of producing reliable information. They can be validated by peer reviews, expert validations or industry standards.
Human error: Data entry and recording errors can introduce inaccuracies to the data, which can reduce its reliability. Standardized procedures and training are essential to prevent these errors.
Backup and storage: A backup plan, such as 3-2-1 (3 copies on 2 local devices plus 1 offsite) reduces the risk of data loss due to hardware failures or natural disasters. Physical integrity is another consideration. Organizations that employ multiple technology vendors must ensure the physical integrity of their data systems are safeguarded and maintained.
Reliability of data is a complex issue, with the most important factor being that a business uses reliable and high-quality data to drive decisions and generate value. To accomplish this, companies must establish a culture of trust in data and make sure that their processes are built to deliver reliable results. This includes implementing standardized methods, training employees who collect data, and providing reliable software.
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