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What is BI Unit 4 about?

Data validation is crucial in Business Intelligence to ensure data accuracy, completeness, and reliability, addressing issues like missing values, noise, and inconsistencies. Techniques such as elimination, inspection, identification, and substitution are used to handle incomplete data, while noise is managed through outlier detection and regression methods. Data transformation, including standardization and normalization, is also essential for maintaining a consistent format across datasets for effective a

Author

chaitualande.29

Language

EN