Data Governance

Data Catalogue

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

Data Drift

Changes in the statistical properties of data over time that can degrade machine learning model performance.

Statistical models that predict the likelihood of a specific customer behaviour such as purchasing, churning, or responding to an offer, guiding targeted business actions.

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

Changes in the underlying patterns that a model was trained to capture, requiring model adaptation.

The process of applying statistical analysis to a dataset, identifying relationships and patterns within the data.

The ability for users to ask questions about data in plain language and receive answers, with AI translating natural language into database queries and visualisations.

Statistical and machine learning methods for predicting future values based on historical sequential data, applied to demand planning, financial forecasting, and resource allocation.

Tools and platforms enabling non-technical users to access and analyse data independently.

A statistical method for making decisions about population parameters based on sample data evidence.

Compliance

Adherence to laws, regulations, guidelines, and specifications relevant to an organisation's business.