Data Quality

Data Pipeline

An automated set of processes that moves and transforms data from source systems to target destinations.

Data Lineage

The documentation of data's origins, movements, and transformations throughout its lifecycle.

Streaming Analytics

Processing and analysing continuous data streams in real time to detect patterns and trigger responses.

ETL Pipeline

An automated workflow that extracts data from sources, transforms it according to business rules, and loads it into a target system.

Data Mart

A subset of a data warehouse focused on a particular business area, department, or subject.

Data Observability

The ability to understand, diagnose, and resolve data quality issues across the data stack by monitoring freshness, distribution, volume, schema, and lineage of data assets.

Reverse ETL

The process of moving transformed data from a central warehouse back into operational tools such as CRM, marketing platforms, and customer support systems to activate insights.

Advanced analytics that recommends specific actions to achieve desired outcomes based on predictive analysis.

The study of graphs representing relationships between discrete objects to understand network structure and dynamics.

Online Analytical Processing — a category of software tools enabling analysis of data stored in databases for business intelligence.

An approach to analysing datasets to summarise their main characteristics, often using statistical graphics and visualisation.

Statistical analysis measuring the strength and direction of the relationship between two or more variables.

A reusable, well-documented, and managed dataset or analytical asset created to serve specific business needs, treated with the same rigour as software products.

An interdisciplinary field using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.

The practice of iterative exploration of organisational data to drive business planning and decision-making.