What are the effects of data corruption on businesses?
Data corruption can lead to significant financial losses, operational disruptions, and damage to reputation.
Can you give me some examples of how data corruption has affected companies?
Sure! For instance, a major airline faced flight delays due to corrupted data in their scheduling system.
How can businesses prevent data corruption?
Businesses can implement regular backups, use error-checking algorithms, and ensure proper data validation.
What should a company do if it experiences data corruption?
They should immediately assess the extent of the corruption, restore from backups, and investigate the cause.
Are there any tools that can help detect data corruption?
Yes, there are various tools like checksums, data validation software, and monitoring systems that can help.
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