8 reasons for data loss
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8 Reasons for Data Loss
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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.
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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.
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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
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Unavailability of IT StaffIT staff may not be available when data recovery and/or restoration is needed.
CC Image courtesy of Shelby on Flickr
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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
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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
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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
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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
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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
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Damaged target mediaDamaged tape and disk requires a costly and time-consuming data recovery service.
CC Image courtesy of Rob on Flickr
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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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