Churn 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.

Funnel Analysis

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

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.

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

The ability to understand, diagnose, and resolve data quality issues across the data stack by monitoring freshness, distribution, volume, schema, and lineage of data assets.

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

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

A formal agreement between data producers and consumers that defines the structure, semantics, quality standards, and service levels of a shared data interface.

Changes in the underlying patterns that a model was trained to capture, requiring model adaptation.

Statistical models that predict the likelihood of a specific customer behaviour such as purchasing, churning, or responding to an offer, guiding targeted business actions.

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