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Data quality is a crucial aspect in the success of analytics and AI, but it is still not receiving the attention it deserves. Companies continue to struggle with issues such as completeness, accuracy, consistency, validity, uniqueness, and integrity. This can lead to compromised analytical insights and misguided strategies.
