Funnel Analysis

Predictive Analytics

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

Prescriptive Analytics

Advanced analytics that recommends specific actions to achieve desired outcomes based on predictive analysis.

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.

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

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

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

Identifying data points that differ significantly from other observations in a dataset.

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

The practice of collaboration between data science and operations to automate and manage the machine learning lifecycle.

The use of machine learning and natural language processing to automate data preparation, insight discovery, and explanation, making analytics accessible to business users.

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