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Power BI consultants often encounter inconsistent, incomplete, or duplicate data that hinders accurate reporting. Poor data governance leads to conflicting insights, unreliable dashboards, and decision-making errors. Many businesses lack data validation processes, allowing errors to propagate. Power BI consultant must implement data cleansing, transformation, and validation workflows using Power Query, DAX, and AI-powered anomaly detection. Additionally, establishing data ownership policies and governance frameworks ensures ongoing data accuracy. Without addressing data quality issues, even the most advanced Power BI solutions fail to deliver meaningful insights.