Big Data Usage

Tilman Becker

In: José María Cavanillas; Edward Curry; Wolfgang Wahlster (Hrsg.). New Horizons for a Data-Driven Economy. Pages 143-165, ISBN 978-3-319-21568-6 (Print) 978-3-319-21569-3 (Online), Springer, Heidelberg, 2016.


One of the core business tasks of advanced data usage is the support of business decisions. Data usage is a wide field that is addressed in this chapter by viewing data usage from various perspectives, including the underlying technology stacks, trends in various sectors, the impact on business models, and requirements on human– computer interaction. The full life-cycle of information is covered in this book, with previous chapters covering data acquisition, storage, analysis, and curation. The position of big data usage within the overall big data value chain can be seen in Fig. 8.1. Data usage covers the business goals that need access to such data, its analyses, and the tools needed to integrate the analyses in business decision-making. The process of decision-making includes reporting, exploration of data (brows- ing and lookup), and exploratory search (finding correlations, comparisons, what-if scenarios, etc.). The business value of such information logistics is twofold: (1) control over the value chain and (2) transparency of the value chain. The former is generally independent from big data; the latter, however, provides opportunities and requirements for data markets and services.

Weitere Links

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz