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Cambridge Service Alliance

developing new understanding and approaches to complex service systems

Studying at Cambridge

 

Consulting

The Cambridge Service Alliance has a long tradition of being open to transferring knowledge gained through research into companies, and hence has helped companies to grow and advance through input. These engagements are generally specially designed for purpose and audience as well as goal.

Past engagements included the topics:

  • Workshops on business model innovation
  • Definition and development of new service offerings
  • Definition of value created and captured by services
  • Building, reviewing and extending business ecosystems
  • How to create value from data / big data from services
  • Customer feedback and emotions as well as service recovery processes
  • Transforming product companies to service companies
  • Performance measurement service businesses

In case of interest, please do and we will start a conversation on how we can help your business. 

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Cambridge Service Alliance

Welcome to the Cambridge Service Alliance…

  • a unique global alliance between leading businesses and universities;
  • bringing together the world's leading firms and academics;
  • all of whom are devoted to delivering today the tools, education and insights needed for the complex service solutions of tomorrow.

Members of the Cambridge Service Alliance include BAE Systems, Caterpillar, IBM and the University of Cambridge.

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Webinar - Customer Loyalty Predictive Model

Jan 10, 2017

9 January 2017 - The Fallacy of the Net Promoter Score: Customer Loyalty Predictive Model - Mohamed Zaki

Webinar - Feedback from the Frontline

Dec 13, 2016

12 December 2016 - Feedback from the Frontline: Engaging front-line employees in service innovation - Florian Urmetzer

Ecosystems Value Framework Paper

Dec 12, 2016

The December Paper on 'The Ecosystem Value Framework: Supporting Managers to Understand Value Exchange between Core Businesses in Service Ecosystems', by Florian Urmetzer, Veronica Martinez and Andy Neely.

December 2016 Newsletter

Dec 01, 2016

December 2016 Alliance Newsletter

Classification of Noisy Data

Nov 28, 2016

November paper on 'Classification of Noisy Data: An Approach Based on Genetic Algorithms and Voronoi Tessellation' by Abdul Rauf Khan, Henrik Schiøler, Torben Knudsen, Murat Kulahci and Mohamed Zaki

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