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In the fast-evolving landscape of business technology, data quality remains a cornerstone. As any Salesforce user has, I've grappled with the challenges of maintaining high-quality data. From data import and cleaning to managing duplicates and ensuring data integrity, the journey is complex, especially in large organizations with massive data sets. This blog post aims to share my experiences and best practices for preserving data quality in Salesforce, a critical endeavor in the age of artificial intelligence (AI).