A retail company builds a generative AI assistant that summarizes product reviews for shoppers. During testing, leaders notice the summaries frequently contain inconsistent product details and contradictory sentiment. On investigation, the source review database is found to contain many duplicate entries, unlabeled spam reviews, and reviews mistakenly attached to the wrong products. Before investing further in prompt engineering or model changes, what should the transformation leader prioritize to improve output reliability?