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.
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Glossary
A collection of common terms, themes and topics used in the data management ecosystem.
What are Large Language Models (LLM) and GPTs?
Data remediation: Identifying and correcting errors, inconsistencies and inaccuracies in data to ensure quality and accuracy.
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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, using software to prevent the ingestion of messy or bad data. It’s a set of measures or processes to ensure the integrity, accuracy, and reliability of data within an organisation,
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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, facilitate decision-making, and create opportunities for competitive advantage. However, leveraging this data is only as good as its quality, and traditional methods for measuring and improving data quality are struggling
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What is Data Remediation?
Data remediation: Identifying and correcting errors, inconsistencies and inaccuracies in data to ensure quality and accuracy.
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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..
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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 Observability?
Data observability is the ability to see and understand data as it flows through an organization, enabling professionals to track metadata issues
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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
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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 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.
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 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 Power BI?
Microsoft Power BI is a technology-enabled business intelligence platform for gathering, analysing and visualizing data.
What is Metadata?
Metadata is a way to describe and make sense of data. It’s a shorthand representation of the data, which helps data stewards easily understand the information in front of them.
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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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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