Data cannot be properly identified and analyzed. Big data 0 score refers to the fact that in some big data analytics systems, due to reasons such as too large a volume of data or poor data quality, certain data cannot be correctly identified and analyzed, and thus is marked as 0 score. This usually occurs in the data cleaning and preprocessing stage and is one of the common problems in big data analytics.