2021-11-15-世界经济论坛-Articulating_Value_from_Data_16页_1mb

Articulating Value from Data - Summary

Executive Summary:
Modern business value increasingly lies in intangible assets such as data. Data's foundational importance is widely recognized, yet quantifying its value remains challenging. Traditional economic approaches struggle to capture data's unique attributes. Future valuation should consider broader stakeholders and collaboration potential.

1. Current Landscape

Despite rhetorical consensus on data's value, organizations struggle to measure it effectively. Data is distinct from traditional goods, so traditional oil or land analogies are limited. Current financial valuation methods are limited by focusing only on monetary aspects.

2. Valuation Approaches

Several valuation approaches are emerging that go beyond transactional monetization. These new approaches recognize data's contextual nature, its ability to increase in value through collaboration, its potential for value creation across multiple stakeholders, and the need to account for privacy and risk factors.

3. Future Outlook

Future efforts should focus on three key considerations: understanding diverse value drivers throughout the data lifecycle, recognizing different value paths depending on use cases, and adopting a stakeholder-based definition of value. Collaboration frameworks are emerging that allow for distributed ownership and benefit-sharing.