According to the GS1 organization, globally, people make 5 billion barcode scans every day. If just 1% of those barcodes are misread, there are at least 50 million bad scan values daily.
What does that mean relative to the cost of bad data? The real cost is difficult to estimate but a leading barcode label company, NiceLabel, wrote a blog article offering some interesting perspectives. In summary, they point out that as a business grows, the cost of bad data can spiral upward exponentially.
Add to that the full impact on enterprises.
For example, consider the real cost of using the wrong component in an assembly. Not only is the cost to correct this mistake very high but also, people can be injured or die from mistakes made. For instance, you can imagine cases from medical or aerospace assemblies. Thus, it adds a human cost on top of a monetary one.