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You are a data scientist responsible for maintaining a production machine learning model deployed for real-time customer segmentation. The marketing team has recently reported inaccuracies in the segments, which you suspect are caused by changes in the input data distribution. What is the MOST EFFECTIVE approach to monitor data quality and ensure the model continues to perform well in production?