In the context of a machine learning project aimed at predicting customer churn for a telecommunications company, the data science team is in the process of preparing their dataset for model training. The dataset includes customer demographics, service usage patterns, customer service interactions, and billing information collected over the past two years. Given the project's goal to accurately identify at-risk customers, why is evaluating the quality of this dataset critical? Choose the two most important reasons.