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Data integrity is a fundamental aspect of data quality and refers to the accuracy, consistency, and reliability of data in a database, system, or...
Data validation is the process of ensuring that data entered or collected in a computer system meets certain predefined standards and criteria.
Data consistency refers to the accuracy, integrity, and validity of data across different parts of a database or distributed system.
SOC 2 (Service Organisation Control 2) compliance is a set of standards and guidelines established by the American Institute of CPAs (AICPA).
GDPR stands for General Data Protection Regulation. It is a comprehensive data protection and privacy regulation implemented by the European Union...
OCR is a technology that converts different types of documents or images captured into editable and searchable data.
Customer Due Diligence (CDD) is a process employed by businesses and financial institutions to assess and verify the identity of their customers
Dirty data refers to data that is inaccurate, incomplete, inconsistent, or contains errors, making it challenging to use for analysis or...
Data accuracy refers to the degree to which data correctly represents the real-world objects or events it is intended to capture.
Data scrubbing refers to the process of identifying and correcting or removing errors, inconsistencies, inaccuracies, and redundancies in a dataset.
Data verification refers to the process of validating and confirming the accuracy, completeness, and integrity of data.
EDD refers to a higher level of scrutiny & investigation conducted by businesses when dealing with entities that pose a higher risk in illicit...