Poor data quality can severely impact business growth by leading to incorrect decisions, inefficiencies, and lost opportunities. Inaccurate or incomplete data can mislead data analysis, resulting in flawed strategies and actions. This affects everything from data integration to data transformation processes, compromising the effectiveness of artificial intelligence and machine learning models. Additionally, poor data quality can lead to compliance issues, increased costs, and damage to the company's reputation. Overall, it undermines data governance and hampers the ability to leverage data for competitive advantage.