Prescriptive Analytics

Predictive Analytics

Using historical data, statistical algorithms, and machine learning to forecast future outcomes and trends.

Descriptive Analytics

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

Real-Time Analytics

The discipline of analysing data as soon as it becomes available to support immediate decision-making.

Customer Analytics

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

Cohort Analysis

A behavioural analytics technique that groups users with shared characteristics to track metrics over time.

Funnel Analysis

Tracking and analysing the sequential steps users take toward a desired action to identify drop-off points.

Churn Analysis

The process of analysing customer attrition to understand why customers stop using a product or service.

Graph Analytics

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

A/B Testing

A controlled experiment methodology that compares two versions of a product, feature, or experience to determine which performs better against a defined metric.

An automated set of processes that moves and transforms data from source systems to target destinations.

Statistical analysis measuring the strength and direction of the relationship between two or more variables.

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

The study of graphs representing relationships between discrete objects to understand network structure and dynamics.

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

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

The process of moving transformed data from a central warehouse back into operational tools such as CRM, marketing platforms, and customer support systems to activate insights.

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