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.
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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.
What is AI and ML?
Artificial Intelligence is the application of computer science techniques to perform a range of decision-making and prediction activities.
What Is Augmented Data Quality And How Do You Use It?
Year after year, the volume of data being generated is increasing at an unparalleled pace. For businesses, data is critical to inform business strategy,
What is a Data Catalog (or Catalogue)?
A data catalog is an inventory of an organisation’s data assets, which can be accessed by data stewards and scientists in order to quickly retrieve the information they need.
What is Customer 360 or Single Customer View?
Customer 360 refers to a 360-degree view of a customer’s journey through an organisation, including accounts, interactions and enquiries.
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What is a Data Quality Firewall?
What is a Data Quality firewall? A data quality firewall is a key component of data management. It is a form of data quality monitoring,
What is ESG?
Environmental, Social and Governance refers to a collection of criteria used to evaluate an organisation’s operations and measure their sustainability.
What is ETL (extract-transform-load)?
ETL refers to the process of extracting data from a source system, transforming it into the desired format, and loading it into a target system.
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What is Data Governance?
Data governance refers to a collection of disciplines working together to achieve effective use, monitoring and reporting of enterprise data.
What is Data Integration?
Data integration is the process of connecting various data sets into one consolidated view, often in a data warehouse or cloud solution.
What is Data Integrity? Why is Data Integrity Important?
Data integrity is the process of maintaining the accuracy and completeness of data over its entire life cycle and how it is applied..
What is the Gartner Magic Quadrant?
The Gartner Magic Quadrant provides a graphical depiction of different types of technology providers and their position in fast-growing markets..
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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.
What is a Data Lake, Data Warehouse and Data Lakehouse?
This post defines and explains the differences between a Data Lake, Data Warehouse and Data Lakehouse
What are Large Language Models (LLM) and GPTs?
Data remediation: Identifying and correcting errors, inconsistencies and inaccuracies in data to ensure quality and accuracy.
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 Master Data Management? (MDM)
Master Data Management provides a consolidated, single source of truth for business-critical data.
What is Data Observability?
Data observability is the ability to see and understand data as it flows through an organization, enabling professionals to track metadata issues
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.
What is Power BI?
Microsoft Power BI is a technology-enabled business intelligence platform for gathering, analysing and visualizing data.
What is Data Quality and why does it matter?
Data quality refers to how fit your data is for serving its intended purpose. Good quality data should be reliable, accurate and accessible.
What is Data Remediation?
Data remediation: Identifying and correcting errors, inconsistencies and inaccuracies in data to ensure quality and accuracy.
What is Self-Service Data Governance?
Self Service Data Governance (SSDG) is an enterprise-wide initiative incorporating data disciplines such as data lineage, data quality and data analytics.
Contact Us
To speak to us about your next step on your data management journey, please get in touch.
The Datactics Team
1 Lanyon Quay, Belfast, BT1 3LG
+ 44 2890 233900
