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What is data loss?

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You ‘d have a tough time nowadays finding a person who’ s never had a run-in with data loss. We ‘ve all known that sinking feeling when a power cut or crash sends an unsaved Word document spinning into the void, or when an internet connection cuts out and a web page full of forms is wiped blank. In the modern age, data loss is as certain as death and taxes.
It’ s also the scourge of the business world. According to EMC ‘s most recent Global Data Protection Index, published in December, companies were left out of pocket to the tune of $1.7 trillion (£1.1 trillion) as a result of data loss and downtime in 2014. The typical business lost 2.33 terabytes of data – the equivalent of 24 million emails and an increase of 400 per cent on 2012.
Of course, having browsed to the blog of a data recovery website, you’ re probably aware that data loss isn ‘t always permanent. In some circumstances, you might even be able to recover from a data loss incident and pick up where you left off in a matter of minutes.
Crucially, though, this depends on the type of data loss you’ ve encountered. Here are some of

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Mean Time Between Failures: Can it help predict hard drive failure?

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Here at Kroll Ontrack, we ‘re well aware that data loss can affect anyone. For many of us, it comes in the form of hard disk drive (HDD) failure – an umbrella term for mechanical, electronic and logical defects that render the information stored therein unreadable. There are dozens of possible causes for this type of malfunction, ranging from logical software errors to physical damage and overheating – and, of course, the fact that all storage devices have a finite lifespan.

You might be acquainted with some of the tell-tale signs that a hard drive is on its last legs. Strange noises, for example – if your HDD shifts from whirring and clicking to grinding and thrashing, it’ s a safe bet that it ‘s about to give up the ghost. In addition, slow access times, frequent crashes and abnormal behaviour – such as corrupted data and vanishing files – are reliable indicators of hard drive failure.

Unfortunately, these aren’ t what you ‘d call scientific metrics to detect a HDD malfunction. And while it’ s one thing to listen out for odd sounds emanating from your laptop or tower, it ‘s another to apply the same methodology to a redundant array of independent disks (RAID) environment in a remote data centre.

So how can consumer and business users alike predict when their hard drives are about to fail? Well, their first port of call might be to check the manufacturers’ estimates of their

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