What are some real-world failures caused by data inconsistency?
Data inconsistency can lead to significant failures. For example, in 2012, Knight Capital lost $440 million in just 45 minutes due to a software glitch caused by inconsistent data.
Can you give me another example?
Sure! In 2018, a data inconsistency issue at a major airline led to over 1,000 flight cancellations, affecting thousands of passengers.
What industries are most affected by this?
Industries like finance, healthcare, and logistics are particularly vulnerable, as they rely heavily on accurate data for operations.
How can companies prevent these failures?
Companies can implement robust data validation processes, regular audits, and use centralized data management systems to minimize inconsistencies.
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