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Notes
- 1.
Extending on the “Experience Economy”, we believe that eventually the biggest impact of big data analytics lies beyond customer analytics. However, customer analytics and journeys are used here to explain to the current state and conflicts with data privacy topics.
- 2.
Agile development is a paradigm in software engineering that embraces lightweight processes, quick iterations, prototyping/trial and error, and subsequent improvement iteration (Beck).
- 3.
We define IT as infrastructure, hardware, and basic software, such as operating systems; we exclude higher‐level layers, such as business applications, data, and analytics.
- 4.
Another way to see this is to remove the notion of ownership from data, focusing the discussion around data controllers and data processors.
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Further Reading
G. Coulouris, J. Dollimore and T. Kindberg, Distributed Systems – Concepts and Design, Amsterdam: Addison-Wesley Longman, 2005.
K. e. a. Beck, “Manifesto for agile software development,” http://www.agilemanifesto.org/.
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Braun, A., Garriga, G. (2018). Consumer Journey Analytics in the Context of Data Privacy and Ethics. In: Linnhoff-Popien, C., Schneider, R., Zaddach, M. (eds) Digital Marketplaces Unleashed. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49275-8_59
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