The revolutionary developments in information technologies enable companies to acquire, store and analyse an ever increasing amount of information about e.g. their production processes, customer contacts and list of suppliers. At the same time the network of business relationships and production processes becomes more and more complex under the circumstances of a globalised economy. For efficient decision making, advanced data analysis techniques are necessary to extract the relevant information. However, in most companies this expert knowledge in data analysis is missing. Therefore it is necessary to outsource these tasks in order to profit from the enormous benefits lying in a proper and sophisticated data analysis and interpretation.

We offer consulting for the analysis of complex systems. Experienced experts (scientists coming from various research areas) develop solution strategies in cooperation with our clients leading to customized solutions for tasks, where standard techniques are doomed to fail. Thereto we use proprietary algorithms and state-of-the-art data analysis techniques, which are implemented in specific software packages meeting the customer's demands.

We are particularly experienced in the following fields:

Time series analysis Optimization techniques
Spectral analysis Simulation
Image processing Visualization
Data Mining Information measures




In our projects, we have gathered a wide experience with different kind of data:

Images and multidimensional sensor data

  • CT and NMR- images
  • Fluorescence Microscopic images
  • Scanning Probe Microscopic images
  • Raster Tunneling Microscopy images
  • Surface Microscopic images

Time series

  • Physiological data (e.g. ECG, EEG)
  • Financial data (e.g. stock market price)
  • Audio data

Spectral data

  • Mass spectra
  • Infrared spectra




ComplexSystemsConsulting has expert knowledge on various methods in the field of data analysis.

Data Mining: Classification, regression and clustering

  • Conventional data analysis
  • Information measures
  • Nonlinear data analysis
    • Structural complexity measures
    • Dynamical complexity measures
    • Surrogates
  • Neural techniques (Neural Nets, Kohonen Maps)
  • Methods from graph theory
  • Statistical methods


  • Genetic algorithms, evolutionary strategies
  • Simulated Annealing


  • Cellular Automata


  • Projection of high-dimensional spaces