EconPapers    
Economics at your fingertips  
 

Enterprise Data Valuation—A Targeted Literature Review

Sai Mohan, Gnana Bharathy and Akanksha Jalan
Additional contact information
Sai Mohan: Rennes SB - Rennes School of Business
Gnana Bharathy: UTS - University of Technology Sydney
Akanksha Jalan: Rennes SB - Rennes School of Business

Post-Print from HAL

Abstract: As digital transformation redefines business models, enterprise value increasingly depends on intangible assets, especially data, rather than traditional physical assets like buildings and equipment. Traditional accounting has long focused on valuing physical assets based on their anticipated future economic benefits, distinguishing between operating and capital expenditures. However, intangible assets, such as data, are more complex to evaluate due to their dependence on business context, lifecycle, and specific uses. This literature review examines data valuation as an intangible asset for accurate enterprise valuation, relevant in investments, mergers, acquisitions, and understanding enterprise worth. The article highlights multiple emerging valuation approaches, including customer transactions, lifetime value, shareholder value, and customer equity, which provide a more nuanced view of data's worth. Advanced techniques like cooperative game theory, Shapley Values, machine learning, and metalearning frameworks are also explored as tools to quantify data value more precisely. Data quality is emphasized as a critical component of data valuation, with ongoing challenges due to regulatory uncertainties and inconsistent reporting practices. These complexities in data valuation signal a significant research opportunity to refine valuation methods as data continues to shape enterprise value across industries.

Keywords: valuation of databases; knowledge valuation; intangible assets valuation; enterprise data valuation; data valuation; data as intangible asset (search for similar items in EconPapers)
Date: 2025-05-09
Note: View the original document on HAL open archive server: https://hal.science/hal-05449859v1
References: Add references at CitEc
Citations:

Published in Journal of Economic Surveys, 2025, 40, pp.73 - 92. ⟨10.1111/joes.12705⟩

Downloads: (external link)
https://hal.science/hal-05449859v1/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05449859

DOI: 10.1111/joes.12705

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().

 
Page updated 2026-01-27
Handle: RePEc:hal:journl:hal-05449859