Data Trading and Monetization: Challenges and Open Research Directions

arXiv (Cornell University)

Abstract

Traditional data monetization approaches face challenges related to data protection and logistics. In response, digital data marketplaces have emerged as intermediaries simplifying data transactions. Despite the growing establishment and acceptance of digital data marketplaces, significant challenges hinder efficient data trading. As a result, few companies can derive tangible value from their data, leading to missed opportunities in understanding customers, pricing decisions, and fraud prevention. In this paper, we explore both technical and organizational challenges affecting data monetization. Moreover, we identify areas in need of further research, aiming to expand the boundaries of current knowledge by emphasizing where research is currently limited or lacking.

Authors 4

1. Qusai Ramadan

   Koblenz University of Applied Sciences

   Affiliation as printed

   Institute of Software Engineering University of Koblenz Germany

2. Zeyd Boukhers

   Klinik und Poliklinik für Psychosomatik und Psychotherapie · Fraunhofer Institute for Applied Information Technology · Centrum für Integrierte Onkologie

   Affiliation as printed

   Fraunhofer Institute for Applied Information Technology FIT , and

   Uniklinik Köln Germany

3. Christoph G. Lange Aachen

   Fraunhofer Institute for Applied Information Technology · RWTH Aachen University

   Affiliation as printed

   Fraunhofer Institute for Applied Information Technology FIT , and

   RWTH Aachen University Germany

4. Jan Jürjens