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Data Analytics

Monitoring and Evaluation

Development of monitoring and evaluation and performance frameworks, selection of indicators across economic, social, environmental and cultural factors, alignment with regulatory and other reporting requirements.

Data Analytics

The process of collecting, processing, and interpreting data to uncover trends and actionable insights. It empowers decision-making, enhances operational efficiency, and drives strategic planning through clear, evidence-based information.

Graph Data Modelling

Graph-based data modeling captures and analyses complex relationships between entities. It enables rich visualisation, advanced querying, and insights extraction, transforming interconnected data into actionable intelligence for improved decision-making and measurable business impact.

Spatial Analytics

An approach that uses geographic data and mapping techniques to reveal patterns and trends. It informs planning by visualizing location-based insights, supporting regional analysis and resource optimization across different areas.

Framework Design

A structured approach that sets clear criteria, processes, and metrics for planning and evaluation. It guides initiatives by establishing consistent methods to measure outcomes, align strategies, and achieve long-term, sustainable progress.

Modelling and Simulation

Modelling and simulation creates digital representations of real-world systems or processes. It enables testing of different scenarios, predicting outcomes, and optimizing strategies, offering reliable insights that support informed decision-making, reduce risks, and drive continuous improvement.