To maximize the benefit derived from your data science activities, an effective data strategy is required.

As a first step, we take a systematic look at your data and try to find answers to the following questions:

• How can more insights be gained from your existing data?
• How can your data be collected, stored, processed and analysed more efficiently?
• What technologies, systems and capabilities are available or required?
• What analytical methods should be used?

Building on this foundation, we jointly formulate your data strategy, assess and suggest the best software and infrastructure (Data Science Tool Stack) and advise you in the use of the most appropriate analytical methods.

We can assist you with the implementation of Data Science projects in a number of ways:

• Project management
• Studies to prove the feasibility of certain approaches (Proof of Concept)
• Development of working prototypes (Use Case Prototyping)
• Implementation of complete systems (System Implementation)
• Direct involvement of our personnel in your projects
• Validation

This way, with our support, for example,

• data processing workflows are created (Data Handling),
• predictive models are developed and tuned (Modelling),
• statistical models integrated into business processes (Deployment),
• data visualisations customized,
• analyses and reports automated,
• user-specific frontends designed or
• real-time process monitoring brought into operation.

All delivered with comprehensive  documentation and ready to be used in a validated environment.