Are you ready when disaster strikes
We can help you be ready before it's too late!
If your feeling a bit unprepared for when a natural or man-made disaster strikes...you're not alone! You can't afford to be caught off guard and without a plan. So why not take the next step to ensuring your systems and data are safe if an emergency hits when you least expect it.
The Effect of Lost Data on Business Operations
Prevent this from happening with daily backups.
Companies recognize that data loss represents a business risk. Even if a monetary value is not assigned to the data, the negative effects on operations can be significant. In many cases, corporate operations can be so adversely affected that companies feel the need to mention the risk in regulatory filings and shareholder reports.
Three types of damage may occur because of data loss. First, data may be unrecoverable. In this case, important business records may be lost forever or available only in hard-copy form. Any business process that is dependent on that data will now be considerably hindered. This is the worst form of damage that can occur.
Next, data may be recoverable but may require considerable time to restore. This scenario—the most likely—assumes that data is backed up in some other place, separate from the primary source. This is a better situation than irrecoverable loss, but the data will be unavailable while recovery operations take place. In some cases, not all the data may be recovered. This is a common problem with data restored from nightly backups. Any data created during the day when the primary data was lost is not on the backup tapes and is lost forever.
Finally, while data is unavailable, either permanently or temporarily, applications not directly related to lost data may fail. This is especially true of relational databases that reference other databases. Loss of a central database of customer information, for example, may cause problems with the sales system because it references customer information. A loss of this type can result in cascade failures, in which several applications fail because of their dependence on another application's data.