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The video tutorial discusses the importance of data cleaning in SPSS before performing statistical analysis. Data cleaning involves removing or modifying incorrect, missing, irrelevant, duplicated, or improperly formatted data to ensure accurate results. Failure to clean the data may distort the final outcome. Data cleaning is essential for accurate and unbiased analysis results. The process involves various steps to prepare the data for analysis effectively.