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Measuring the Digital Transformation

A Roadmap for the Future

image of Measuring the Digital Transformation

Measuring the Digital Transformation: A Roadmap for the Future provides new insights into the state of the digital transformation by mapping indicators across a range of areas – from education and innovation, to trade and economic and social outcomes – against current digital policy issues, as presented in Going Digital: Shaping Policies, Improving Lives. In so doing, it identifies gaps in the current measurement framework, assesses progress made towards filling these gaps and sets-out a forward-looking measurement roadmap. The goal is to expand the evidence base, as a means to lay the ground for more robust policies for growth and well-being in the digital era.

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Roadmap: Measuring data and data flows

Businesses have long been using data, but in recent years both the scale of data usage and its central importance for many business models has increased exponentially. “Data-enhanced businesses” augment their existing business models and processes with new, data-driven processes to enhance their production, distribution or marketing, while for “data-enabled businesses”, such as online platforms, data are a key enabler of their core business model. Data also help businesses to co-ordinate better within and across global value chains, facilitate international transactions and can enable new or improved products and services. The value of data to businesses will depend on how and where in the business value chain they are put to use. Since data flows are likely to differ vastly across firms and sectors, there is a need to decompose and analyse data business models and value chains in detail, considering factors such as the types of data involved, their origin, the way they are used and institutional context (e.g. within an MNE or not). For example, Li et al. (2018) have analysed the nature and role of data in various online platform businesses.

English

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