Data protection reliability is the process that guarantees data is accurate, complete and secure during its entire existence, from creation to deletion or archival. This includes securing against unauthorized access to data, corruption and mistakes by using strong security measures, audits and checksum validations. Reliability of data is vital for enabling informed and confident decisions, allowing organizations to leverage data to create business impact.
The reliability of data may be compromised by a range of reasons, including:
Data Source Credibility: A data set’s credibility and trustworthiness are heavily dependent on its source. Credible sources are those that have demonstrated track records of producing reliable information. They can be verified by peer reviews, expert validations or industry standards.
Human error Data entry and recording errors can cause inaccuracies in an information set, reducing its reliability. Standardized procedures and training are essential to prevent these mistakes.
Backup and storage Backup and Storage like 3-2-1 (3 copies on two local devices and 1 offsite) minimizes the risk of data loss due to physical failures or natural catastrophes. Physical integrity is an additional aspect to consider. Companies that utilize multiple technology vendors must ensure that the physical integrity of their systems for data to be safeguarded and maintained.
Reliability of data is a complicated issue the most important thing being that a business has reliable and high-quality data to drive decisions and generate value. To achieve this, organizations need to engender the culture of trust in data and ensure that their processes are designed to deliver trustworthy results, including adopting standard methods, educating data collectors and providing reliable tools.
