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To transform raw data into usable information, you need to clean, organize, and analyze the data. This process involves filtering out irrelevant information, structuring the data in a meaningful way, and extracting insights that can be applied to decision-making or problem-solving. Data transformation techniques such as data wrangling, normalization, and aggregation can help convert raw data into actionable insights.

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