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Services & Packages

Data Monetisation Starter

Ready to see the return on your data assets? Let’s tackle the last mile on this journey together. We help you selecting the right technology and build your first data monetisation solution or embedded analytics product to test out with your customers.

Addressing the following challenges

  • Finding the fit-for-purpose technology
  • Wasted resources on integration challenges
  • Professional testing with customers
  • Creation of a realistic business case
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Containing the following services

  • I should choose this if I have ideas for embedded analytics use cases and want to test it out with our customers in a professional and timely manner.
  • Expert support for selecting the right technology based on jointly defined acceptance criteria
  • Free trial support for your selected technology
  • Joint planning of your data monetisation or embedded analytics use case
  • Following a proven planning template
  • Full implementation of the use case by Claudy in 3-4 weeks
  • Full support on the testing period with your customers
  • Expert email support during the duration of the project and beyond
  • Expert support for the business case development and long-term investment decision
  • I should choose this if I have a selection of embedded analytics vendors and I want to compare two of them on a real-world use case.
  • Free trial support with the selected technologies
  • Joint planning of your data monetisation or embedded analytics use case and definition of your evaluation criteria
  • Following a proven technology comparison template
  • Full implementation of the use case with the selected technologies by Claudy in 4-6 weeks
  • Guided technology review based on your custom criteria
  • Full support for testing the better technology with your customers
  • Expert email support during the duration of the project and beyond
  • Expert support for the business case development and long-term investment decision

Your value from working with us

  • Reducing wasted resources on unsuitable technologies
  • Fast-track to MVP and customer testing
  • Saving future resources by enabling self-service
  • Ensuring a scalable setup from the start
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