In the context of building a machine learning solution for a financial services company, the team is tasked with improving the accuracy of credit risk prediction models. The dataset includes transaction histories, customer demographics, and credit scores, but contains missing values, outliers, and inconsistent formatting. Which of the following steps is MOST critical in the data pre-processing phase to ensure the model's performance is optimized? Choose one.