This chapter identifies the cross-sectorial requirements for big data research necessary to
define a prioritized research roadmap based on expected impact. The aim of the roadmaps …

Data science has employed great research efforts in developing advanced analytics,
improving data models and cultivating new algorithms. However, not many authors have …

Big data is a buzzword of our times, and yet the awareness of what big data is, how it
permeates our daily lives, and how it is applied either in the policy-making process or in the …

That's why companies need to recruit and cultivate “translators”—specialists capable of
bridging different functions within the organization and effectively communicating between …

The concept of Big Data has become a reality due to our capability to create and collect
digital data at an extraordinary rate. Despite its significance, the concept of Big Data is still …

Decision support systems such as big data, business intelligence (BI), and analytics offer
firms capabilities to generate new revenue sources, increase productivity and outputs, and …

Developments in big data have led to an increase in data analytics projects conducted by
organizations. Such projects aim to create value by improving decision making or enhancing …

Achievement of targets and indicators for Sustainable Development Goals (SDGs) are of key
interest to policy-makers worldwide. Sustainable development requires a holistic …

Despite the documented potential of Big Data Analytics Capabilities (BDAC), it is by no
means clear how they support the capacity of firms to purposefully create, extend, or modify …

New data streams from social media, passive data capture and other sources are creating
opportunities to support decision making. Also, data volume, data velocity and data variety …