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The backbone of any data-driven decision-making process is the reliability of its data. A data testing strategy employs systematic approaches to validate data accuracy, completeness, and consistency across systems. By implementing robust testing methodologies, this strategy ensures that data pipelines are free from errors, providing businesses with confidence in their analytical insights and operational data.