Diagnostic 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.

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.

Market Basket Analysis

A data mining technique discovering associations between items frequently purchased together.

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

The practice of collecting and analysing customer data to understand behaviour, preferences, and lifetime value.

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

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

The process of examining, analysing, and creating summaries of data to assess quality and structure.

Making data accessible to all members of an organisation regardless of their technical expertise.

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

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