In the context of preparing data for a machine learning model, a team is evaluating the importance of data quality assessment. The dataset includes customer transactions from multiple sources with varying formats, missing values, and potential outliers. The team aims to build a model that predicts customer churn with high accuracy. Given the scenario, why is assessing data quality a critical step in machine learning data preparation? (Choose one correct option)