Even with easy access to AI and advanced analytics technologies, the total cost of getting data wrong can be huge, with organizations trying to exploit digital opportunities ahead. How can leaders enable data-driven enterprise DNA with relevance, completeness, and transparency of the data models as the foundation?
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