Existing Citations

  • big data (pp. 4-5): The crux of the “Big Data” paradigm is actually not the increasingly large amount of data itself, but its analysis for intelligent decision-making (in this sense, the term “Big Data Analysis” would actually be more fitting than the term “Big Data” by itself). Independent from the specific peta-, exa-, or zettabytes scale, the key feature of the paradigmatic change is that analytic treatment of data is systematically placed at the forefront of intelligent decision-making. The process can be seen as the natural next step in the evolution from the “Information Age” and “Information Societies” ... to “Knowledge Societies”: building on the digital infrastructure that led to vast increases in information, the current challenge consists in converting this digital information into knowledge that informs intelligent decisions. (†292)
  • big data (pp. 31-32): As with all previous examples of technology-based innovation for development, also the Big Data paradigm runs through a slow and unequal diffusion process that is compromised by the lacks of infrastructure, human capital, economic resource availability, and institutional frameworks in developing countries. This inevitably creates a new dimension of the digital divide: a divide in the capacity to place the analytic treatment of data at the forefront of informed decision-making. This divide does not only refer to the availability of information, but to intelligent decision-making and therefore to a divide in (data-based) knowledge. (†293)