skip to primary navigationskip to content

Cambridge Service Alliance

At the forefront of service transformation in the digital era

Studying at Cambridge

 

A Taxonomy of Data-driven Business Models used by Start-up Firms

last modified Nov 04, 2015 10:30 AM
The March 2014 Paper on 'Big Data for Big Business? A Taxonomy of Data-driven Business Models used by Start-up Firms' by Philipp Max Hartmann, Mohamed Zaki, Niels Feldmann and Andy Neely
A Taxonomy of Data-driven Business Models used by Start-up Firms

March 2014 Paper

 

This paper reports a study which provides a series of implications that may be particularly helpful to companies already leveraging ‘big data’ for their businesses or planning to do so. The Data Driven Business Model (DDBM) framework represents a basis for the analysis and clustering of business models. For practitioners the dimensions and various features may provide guidance on possibilities to form a business model for their specific venture. The framework allows identification and assessment of available potential data sources that can be used in a new DDBM. It also provides comprehensive sets of potential key activities as well as revenue models.

[paper]

RSS Feed Latest news

Industry Day 2020 | What we learnt

Dec 06, 2020

What is the future of services in the new pandemic-driven era? This was the topic explored at our 2020 Industry Day by senior executives from L'Oréal, Microsoft Research, Manchester United and start-up, Fairjungle.

Understanding business models in the construction sector

Nov 25, 2020

What’s standing in the way of offsite manufacturing? For decades, the construction sector has been hailing it as the next big thing but we have yet to see it really taking off. Why is that, when the technologies and processes already exist? Dr Zakaria Dakhli believes it is due to a fundamental incompatibility between business models and it is only when this has been fully understood that the long-awaited transformation can take place.

A machine learning approach to quality control

Nov 14, 2020

Most of the products we take for granted contain huge numbers of components assembled in multiple stages by different manufacturers. Quality control is vital throughout the assembly process with rigorous testing required at every step.

Digital twins: driving business model innovation

Nov 06, 2020

For B2B firms struggling to reap the rewards of digitalisation, could digital twins be the way forward? In this article, CSA's Dr Erika Pärn and colleagues from the Fraunhofer Institute and Technische Universität in Dortmund, explore the relationship between this emerging technology and business model innovation.

Making business model innovation happen: the Business Model Cohesiveness Scorecard

Oct 30, 2020

Digital transformation is failing to live up to its hype, at least as far as productivity gains are concerned. If, as research suggests, a lack of business model innovation is the main culprit, we need a way of making it happen. Dr Chander Velu thinks a balanced scorecard approach could be the answer.

View all news