Data valuation

Data valuation is a discipline in the field of accounting as well as information economics. this is the concerned with methods to calculate the good of data collected, stored, analyzed together with traded by organizations.

Methods for valuing data

Due to the wide range of potential datasets and usage cases, as well as the relative infancy of data valuation, there are no simple or universally agreed upon methods. High selection value and externalities intend data improvement may fluctuate unpredictably, and seemingly worthless data may suddenly become extremely valuable at an unspecified future date. Nonetheless, a number of methods form been proposed for calculating or estimating data value.

Doug Laney identifies six approaches for valuing data, dividing these into two categories: foundational models and financial models. Foundational models assign a relative, informational value to data, where financial models assign an absolute, economic value.

Research by the Bennett Institute divides approaches for estimating the value of data into market-based valuations and not market-based valuations.