Data Analytics & Optimization

Companies in all industries face enormous challenges

Every day, valuable data is generated in the product and process life cycle, which together, leads to a continuously growing volume of information. We help you prepare and explore this data so that you have a quick and comprehensive insight to the information it provides.

Our added value

Domain understanding

Important for fast, specific and targetoriented solutions for our customers:

  • Measurement data analysis in development, testing & validation
  • Field data analysis in after sales & lifecycle management
  • Quality analysis in production

Sustained project success by combining methodical analytics expertise with long-standing domain knowledge.

15 years of experience in small and large projects is enormously important for the fast and successful implementation of complex analyses to increase quality, reduce costs, optimize processes and satisfy customers.

One contact-point for integrated solutions from consulting, visualization and analysis, to application management services (DevOps) – all, in collaboration with strong partners.

Fields of activity

Consulting and conception

  • Assessment of the Status Quo
  • Derivation of Analytics-Strategy with concrete development steps
  • Data protection and data governance
  • Ad hoc analysis of existing data sets
  • Use of analytics algorithms and identification of potentials
  • Utilizing professional tools for in-depth analysis
  • Use of advanced analytics and self-service BI
  • Predictive analytics for developing forecasts
  • Operation and support
  • Care/maintenance of applications/platforms
  • Maturity assessment of the organization
  • Know-how development, role allocation, training, etc.

Generate added value from data

We always approach new challenges with this philosophy. Through our many years of experience in the field of data analytics, we know both the potentials and the pitfalls in dealing with data, algorithms and, last but not least, the people in this paradigm.

Data Analytics

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Jun 10 2020

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Data Analytics

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