Published: 13 December 2019
Data migrations are complex, risky and expensive — and often disrupted by unexpected challenges. To avoid surprises, deliver on time and ensure quality, data and analytics leaders can improve planning, proactively address data quality and rely on structured, technology-enabled execution.
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