Data cleansing ensures that data is accurate, complete, and consistent, which is essential for effective data preparation. This process involves identifying and correcting or removing erroneous, incomplete, or irrelevant data points. By performing data cleansing, organizations improve the quality of their datasets, leading to better-informed decision-making and insights. Clean data helps mitigate risks associated with data analysis, optimizing operational efficiency and enhancing the overall accuracy of business intelligence efforts.