8 reasons for data loss
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8 Reasons for Data Loss
Nearly all enterprises have backup systems in place, but still regularly encounter data loss events that cannot be effectively recovered.
Data loss dramatically reduces workers’ productivity and can quickly affect a company’s bottom line.
In a worst-case scenario, a catastrophic data loss event can render a business incapable of serving customers, irreparably damage its reputation and even threaten its very existence.
It is a good idea to know about the most common causes of data loss so that you may benefit from them and avoid any future mishaps.
8 Reasons for Data Loss
1. Unavailability of IT staff
2. Impaired connectivity hampering recovery
3. Granular file recovery was unavailable
4. Human error
5. Rogue employee
6. Accidental deletion of a file
7. Damaged target media
8. Corrupted backup data
Unavailability of IT StaffIT staff may not be available when data recovery and/or restoration is needed.
CC Image courtesy of Shelby on Flickr
Impaired connectivity hampering recoveryThe lack of proper connectivity may negatively affect the recovery of a file from the cloud.
CC Image courtesy of Lightspectral on Flickr
Granular file recovery was unavailableMultiple files and applications or an entire snapshot had to be restored to recover a small number of critical files.
CC Image courtesy of Rudolf Vlcek on Flickr
Human ErrorMistakes in properly formatting the backup medium or overwriting backup data may result in data loss.
CC Image courtesy of Mr. Fibble on Flickr
Rogue employeeAn employee whose actions threaten the information security of a company or its ability to function is an organization’s biggest threat.
CC Image courtesy of Moyan Brenn on Flickr
Accidental deletion of a fileMistakes with deletion of a file or creation of a software bug can result in data loss.
CC Image courtesy of Dana Marostega on Flickr
Damaged target mediaDamaged tape and disk requires a costly and time-consuming data recovery service.
CC Image courtesy of Rob on Flickr
Corrupted backup dataAccidentally backing up corrupted or incorrect information alters the process of data flow.
CC Image courtesy of Vincent Kaczmarek on Flickr
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