Augmented Analytics

Data Science

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

Big Data

Extremely large and complex datasets that require advanced computational tools and techniques to store, process, and analyse.

Data Engineering

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

Exploratory Data Analysis

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

Statistical Modelling

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

Diagnostic Analytics

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

Time Series Analysis

Statistical techniques for analysing time-ordered data points to identify trends, cycles, and forecasting patterns.

Regression Analysis

A set of statistical processes for estimating the relationships between dependent and independent variables.

Hypothesis Testing

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

Bayesian Statistics

A statistical approach that incorporates prior knowledge and updates probability estimates as new data is observed.

Monte Carlo Simulation

A computational technique using repeated random sampling to obtain numerical results for problems with many coupled variables.

Business Analytics

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

Analysing relationships and connections between entities represented as nodes and edges in a graph structure.

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

The graphical representation of data and information using visual elements like charts, graphs, and maps.

Using NLP techniques to extract insights and sentiment from unstructured text data at scale.

An abstraction layer that provides business-friendly definitions and consistent metrics on top of raw data, enabling self-service analytics with standardised terminology.

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

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

A visual interface displaying key metrics and data points for monitoring performance and making informed decisions.

Machine Learning

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

Natural Language Processing

The field of AI focused on enabling computers to understand, interpret, and generate human language.