Overview
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.
More in Data Science & Analytics
Data Governance
Data GovernanceThe framework of policies, processes, and standards for managing data assets to ensure quality, security, and compliance.
Data Pipeline
Data EngineeringAn automated set of processes that moves and transforms data from source systems to target destinations.
Outlier Detection
Statistics & MethodsIdentifying data points that differ significantly from other observations in a dataset.
Data Contract
Statistics & MethodsA formal agreement between data producers and consumers that defines the structure, semantics, quality standards, and service levels of a shared data interface.
Data Engineering
Statistics & MethodsThe practice of designing, building, and maintaining data infrastructure, pipelines, and architectures.
Semantic Layer
Statistics & MethodsAn abstraction layer that provides business-friendly definitions and consistent metrics on top of raw data, enabling self-service analytics with standardised terminology.
Data Annotation
Statistics & MethodsThe process of labelling data with informative tags to make it usable for training supervised machine learning models.
Synthetic Data for Analytics
Statistics & MethodsArtificially generated datasets that preserve the statistical properties of real data while protecting privacy, used for testing, development, and sharing across organisational boundaries.