Data Drift

Data Governance

The framework of policies, processes, and standards for managing data assets to ensure quality, security, and compliance.

Data Catalogue

A metadata management tool that helps organisations find, understand, and manage their data assets.

The practice of collaboration between data science and operations to automate and manage the machine learning lifecycle.

The use of machine learning and natural language processing to automate data preparation, insight discovery, and explanation, making analytics accessible to business users.

Analysis techniques focused on understanding why something happened by examining data patterns and correlations.

An isolated repository of data controlled by one department, inaccessible to other parts of the organisation.

The analysis of historical data to understand what has happened in the past and identify patterns.

The practice of designing, building, and maintaining data infrastructure, pipelines, and architectures.

Artificially generated datasets that preserve the statistical properties of real data while protecting privacy, used for testing, development, and sharing across organisational boundaries.

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

Machine Learning

A subset of AI that enables systems to automatically learn and improve from experience without being explicitly programmed.