A Data Valuation Model to Estimate the Investment Value of Platform Companies: Based on Discounted Cash Flow

As both investment attraction and mergers acquisitions targeting information technology platform companies are becoming more important in the digital-centric economic environment, interest valuing corporate data assets is increasing. Accordingly, among income approaches used business valuation, this study presents a valuation model based on discounted cash flow. This expected to be useful for decision-making. The assumptions estimation of include intangible asset value, exclude net attribution centered technology, human resources, market factors. In particular, accounts comprise ordinary research development, labor costs, advertising expenses. Data costs were divided into those incurred during collection, storage, curation, analysis, utilization. Financial statements related from real estate operator over three years collected simulate model. simulation reveals that possesses KRW 472.6 billion assets. Ultimately, developed can contribute strengthening operators’ attraction, guaranteeing financial sustainability, transparency assetization.