We provide statistical advice for individual clients and corporations, be they public or private institutions.

Big Data

• Data Mining & human mind
• Machine Learning

No Data

• Data Scenarios (Stochastic methods and other)
• Human mind

Our analysis and evaluation of data are based on standardized scientific methods, with each service individualized to focus on a client’s specific issues and based on a variety of methods. For example, our statistical programming is done in R.

Based on a cost estimate (which can be performed along with a cost ceiling estimate on request), the level of our assistance
to your company can be established contractually.

Predictive Mathematical Modeling

In addition to classical data analysis, we also offer predictive statistical modeling and programming in various fields.

• Mathematical modeling, especially based on stochastic or probabilistic and Bayesian learning and others of those approaches.
• Statistical analysis.
• Model tests: implementation of parametric (model input) and model (structural) tests to assess the plausability (uncertainty, variability) of the target model output.

Multi-Criteria-Decision-Analysis

Multicriteria decision analysis (MCDA), e.g., a) for complex decision risk situations (environmental, health, private or occupational contexts), b) for the prediction of strategic, operational and other kind of risks.

We are also skilled in other areas and in various forms of cooperation. Do not hesitate to contact us (no student counselling) to set up an initial conversation.