Complex questions.
A rigorous approach.

Research
& data analytics

When you need to understand what is happening, why a metric is changing and what the data can tell you.

• Statistical and econometric analysis
• Hypothesis testing and assessment of influencing factors
• Methodology and indicator framework development
• Assessment of source data quality and limitations

Modelling,
forecasting & AI

When you need to compare options, forecast metrics or detect patterns that are difficult to express through simple rules.

• Economic and simulation models
• Forecasting and time series analysis
• Scenario and sensitivity analysis
• Classification, segmentation and anomaly detection
• Machine learning: feature engineering, training and evaluation

Data engineering
& Big Data

When data is scattered, volumes are growing and every new calculation takes too much manual work.

• Source integration and data structure alignment
• Data cleaning, validation and transformation
• Distributed processing of large datasets
• Automated data ingestion and analytical calculations

Dashboards
& geospatial analytics

When you need to track trends, compare locations and find the right metric quickly.

• BI dashboards and interactive reporting
• Geospatial analytics, spatial indicators and maps
• Visualisation of flows, routes and points of interest
• Metrics, filters and drill-down views