Data Trading and Monetization: Challenges and Open Research Directions
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866916094866882560 |
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| author | Ramadan, Qusai Boukhers, Zeyd AlShaikh, Muath Lange, Christoph Jürjens, Jan |
| author_facet | Ramadan, Qusai Boukhers, Zeyd AlShaikh, Muath Lange, Christoph Jürjens, Jan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_09199 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Data Trading and Monetization: Challenges and Open Research Directions Ramadan, Qusai Boukhers, Zeyd AlShaikh, Muath Lange, Christoph Jürjens, Jan Distributed, Parallel, and Cluster Computing Databases 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. |
| title | Data Trading and Monetization: Challenges and Open Research Directions |
| topic | Distributed, Parallel, and Cluster Computing Databases |
| url | https://arxiv.org/abs/2401.09199 |