Data anomalies refer to irregularities or inconsistencies in datasets that can distort analysis and decision-making processes. In the context of business, these anomalies can affect financial reports, customer insights, and operational metrics. They often arise due to data entry errors, system glitches, or inconsistencies in data integration from multiple sources.