Understanding Data Sharing—the data value chain

Understanding the data value chain
  1. It is then combined and transformed into a useful form. This is often underestimated in terms of the amount of effort required.
  2. It is then analysed using a combination of machines (e.g. algorithms, machine-learning, AI, etc.)
  3. It is then used by humans and/or machines to make decisions that has an impact on the issue that people are trying to solve.

An example — transport

To illustrate, transport infrastructure in London generates lots of data, it is created and gathered by Transport for London (TfL). A third-party (TransportAPI) collects the data from TfL and from every other transport provider in the UK, combining and transforming it into ‘market ready’ forms. Third-party app developers (e.g. National Express) can then create consumer-facing apps that help users understand when a bus is arriving. The end-user then makes a decision based on that insight.

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