Establishing Data Science

Phase 1: Strategic Consulting

  • Bridging the knowledge gap
  • Identifying areas of application
  • Setting up the corporate structure
Strategic Consulting

Phase 2: Training

  • Establishing the right mind set and growing in-house expertise using external experience
  • Finding interested sponsors throughout the company
  • Learning a common language for Machine Learning

Phase 3: Knowledge Transfer Projects

  • Establishing steady knowledge transfer from externals
  • Benefitting from best practices
  • Distinguishing between methods and infrastructure
  • Setting up an internal data science team
Knowledge Transfer Projects

Phase 4: Custom Development

  • Avoiding breaking the tool chain
  • Custom development for special situations
  • Enhancing efficiency in maintenance and development
Custom Development

Phase 5: Expert Support

  • Fast support for complex issues
  • Access to knowledge base
Expert Support