19. How open data and shared datasets fit into corporate value
Open and shared datasets are reshaping how businesses think about data ownership. This post explores how publicly available data contributes to corporate value and what it means for your data strategy.
Many business leaders assume that value lies only in proprietary data kept locked behind firewalls, but the reality is more nuanced. Open data and shared datasets can enhance corporate value in ways that are often overlooked during traditional valuation exercises. Understanding how public and collaborative data sources interact with your private holdings is becoming essential for companies that want to maximise the strategic worth of their information assets.
Open data, whether from government agencies, research institutions, or industry consortia, can significantly boost the value of proprietary datasets by providing context, benchmarks, and enrichment layers. A logistics company's internal delivery data becomes far more valuable when combined with publicly available traffic patterns, weather forecasts, and economic indicators. Similarly, a retailer's customer insights gain depth when cross-referenced with demographic data released by statistical offices. The ability to integrate and analyse these combined data streams is itself a form of competitive advantage, and it should be reflected in how companies value their data capabilities.
Shared datasets within industry partnerships or data trusts present a different but equally important dynamic. When companies pool anonymised or aggregated data to solve common problems, such as fraud detection, supply chain resilience, or sustainability reporting, they create collective value that benefits all participants. This collaborative approach does not necessarily dilute individual data value; instead, it can elevate it by making each participant's data more useful and relevant. Forward-thinking organisations recognise that participating in data ecosystems can increase their overall valuation by demonstrating strategic maturity and network effects.
The challenge for corporate valuation is determining how to account for these hybrid data environments. A company that skillfully combines open data with proprietary insights may be worth more than one that relies solely on closed datasets, yet traditional valuation methods struggle to capture this distinction. As data valuation frameworks evolve, they must incorporate metrics that reflect a company's ability to source, integrate, and leverage external data alongside its own. Businesses that ignore the role of open and shared data risk underestimating their true data value and missing opportunities to strengthen their competitive position through strategic data collaboration.