Data Science

Our Value Proposition

Goal Services
Cross-disciplinary collaboration
  • Information visualisation
  • Visual language engineering
  • User interface development
  • Multi-lingual support
  • Language integration
Business intelligence and organisational learning
  • Dashboard design
  • Dimensional modeling
  • ETL (extract, transform, and load) design
  • Statistical analysis
  • Data warehouse implementation
Machine learning
  • Data analysis
  • A.I. (Artificial Intelligence) system design
  • Model selection, model validation, regularisation, error analysis
  • Design, implementation, and training of neural networks
Methodological support

Example Case Study


Global postal automation system vendor


Head of Postal Automation Technology and Chief Product Architect


Development of a report specification and design tool for a software product line for postal automation systems, with a focus on real-time statistics gathered by the equipment in mail sorting centres.