Several petabytes of new data are collected every day. They help to understand customers better, use machines more efficiently and recognise connections that would otherwise never have been identified. But how can an almost inexhaustible amount of simple data be transformed into useful insights for your business? Data science is the answer. What we offer you:

• Data processing
• Data visualisation
• Data profiling
• Data cleansing
• Machine learning

Methodical approach

To ensure your success, we rely on processes that are established as industry standards. In the area of data science, we use the proven CRISP-DM (CRoss-Industry Standard Process for Data Mining) process model. In this way, we cover the complete life cycle of data-driven services: joint problem definition, domain modelling (machine learning), ultimately scaling up to big data systems, maintenance and evolution. We bring your data-driven products to market quickly and reliably, integrated in Scrum and accompanied by effective risk management.

• Business understanding: creating a common understanding of the problem and formulating goals
• Data understanding: examining and evaluating all available data
• Data preparation: cleaning, reorganising and normalising the data
• Modelling: training intelligent models to classify data and predict new events
• Evaluation: evaluating the developed models against common metrics
• Deployment: going live with the data-driven product and scaling up to big data systems