Welcome to the Datactics Glossary

Data quality management is an industry full of business jargon. Here we’ve pulled together some of the most common terms and phrases to help anyone from a DQ new-start to a seasoned professional. 


What is Microsoft Azure?

Launched in 2010, Microsoft Azure is one of the world’s leading public cloud computing software, offering over 200 preconfigured services including AI, storage, networks and integration.

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What is AI and ML?

Artificial Intelligence is the application of computer science techniques to perform a range of decision-making and prediction activities.

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What is ESG?

Environmental, Social and Governance refers to a collection of criteria used to evaluate an organisation’s operations and measure their sustainability.

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What is Data Lineage?

Data lineage is the process of mapping where your data has originated from and where it ends up. It enabled enterprises to track the flow of data and quickly identify where errors have occurred during the data lifecycle.

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What is KYC and AML?

KYC and AML are fundamental components of regulatory compliance in financial institutions, referring to the prevention of money laundering and other financial crimes.

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What is Data Profiling?

Data profiling is the process of reviewing data, including its source, to provide helpful summaries of information about the data, including potential data quality issues.

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