Conflicts arise when duplicate records contain mismatched details—like differing addresses or statuses—across systems. This process identifies, flags, and resolves these inconsistencies to ensure data integrity. It is used during data migration, integration, and cleansing to prevent operational errors. Data analysts, IT teams, and business leaders benefit by gaining accurate reporting, reliable analytics, and improved decision-making, ultimately reducing costs and boosting operational efficiency.
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