Achieving the promises of advanced analytics and predictive modelling requires a careful balance of technical expertise in data science methods, advanced analytical tools and business focus.
Over the past decade, we have guided clients in many different industries by applying advanced analytics to their strategic business problems. By following a proven approach – one that leverages our extensive expertise in predictive analytics, data mining and statistics – we can guarantee results.
Our experience covers the entire development life cycle of predictive modelling projects, including:
- Business understanding and requirements gathering
- Data assets assessment
- Data transformation and preparation
- Predictive model design and development
- Model implementation & scoring automation
- Systems integration
- Testing and quality control