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Global Data Quality

What is Data Governance?

Data governance is a comprehensive framework of policies, processes, standards, and procedures that an organisation establishes to manage its data...

Global Data Quality

What is Data Standardisation?

Data standardisation is the process of establishing & and enforcing consistent data formats, structures, and conventions.

Global Data Quality

What is Data Integrity?

Data integrity is a fundamental aspect of data quality and refers to the accuracy, consistency, and reliability of data in a database, system, or...

Global Data Quality

What is Data Validation?

Data validation is the process of ensuring that data entered or collected in a computer system meets certain predefined standards and criteria.

Global Data Quality

What is Data Consistency

Data consistency refers to the accuracy, integrity, and validity of data across different parts of a database or distributed system.

SOC2

What is SOC2 Compliance?

SOC 2 (Service Organisation Control 2) compliance is a set of standards and guidelines established by the American Institute of CPAs (AICPA).

GDPR

What is GDPR?

GDPR stands for General Data Protection Regulation. It is a comprehensive data protection and privacy regulation implemented by the European Union...

know your customer (KYC)

What is Optical Character Recognition?

OCR is a technology that converts different types of documents or images captured into editable and searchable data.

know your customer (KYC)

What is Customer Due Diligence?

Customer Due Diligence (CDD) is a process employed by businesses and financial institutions to assess and verify the identity of their customers

Global Data Quality

What is Dirty Data?

Dirty data refers to data that is inaccurate, incomplete, inconsistent, or contains errors, making it challenging to use for analysis or...

Global Data Quality

What is Data Accuracy?

Data accuracy refers to the degree to which data correctly represents the real-world objects or events it is intended to capture.

Global Data Quality

What is Data Scrubbing?

Data scrubbing refers to the process of identifying and correcting or removing errors, inconsistencies, inaccuracies, and redundancies in a dataset.