Whereas data trading is becoming an increasingly popular source of revenue and data monetization is gaining prominence as a business model globally, putting a price tag on a dataset remains notoriously difficult.
Assessing the monetary value of information and other forms of intangible goods is indeed a challenging task. Data is a particularly strange beast, as its economic characteristics make it harder to evaluate.
To help overcome this issue, the team from Athens University of Economics and Business (AUEB), namely Dr. Vasiliki Koniakou, and PhD Candidate Timoleon Farmakis, developed a price recommendation tool, which borrows from cost-, income- and value-based approaches.
Its high-level design includes a combination of qualitative and quantitative methods and is premised on a systematic literature review and rigorous validation methodologies.