We found data on the world's largest companies and their entity structures. Some of these companies --like Alphabet, Pepsi, and Amazon -- own dozens, if not hundreds, of subsidiaries. This data can give us insights into global business strategies, supply chains, and tax optimization strategies.
Thanks to the Multinational Enterprise Information Platform, a joint effort by the OECD and UNSD, we now get a rare glimpse into the organizational structures of the world’s top 500 multinational enterprises (MNEs).
Why Multinational Enterprise Data Matters
Most of us know that these global giants are complex structures, but we don't always know why. But digging into the data we can get detailed information on these orgs, including:
- Headquarters and subsidiaries
- Ownership structures
- Regional operations
- Even website rankings
By analyzing these intricate networks, you can better understand the true scale and reach of these enterprises, and how they impact everything from competitive strategy to supply chain risks and tax strategies.
What Can You Do with This Data?
The Multinational Enterprise Information Platform isn’t just interesting—it’s actionable. Here’s how you can put this data to work:
- Market and Competitive Research: Understand how your competitors are structured. This data allows you to map out global footprints, identifying key regions and business areas where competitors are expanding.
- Supply Chain Analysis: Use the data to assess supply chain risks or potential partnership opportunities. Knowing where subsidiaries and operations are based helps businesses identify strategic locations for sourcing and manufacturing.
- Tax Strategy Optimization: By understanding where multinational subsidiaries are located, businesses can develop tax-efficient strategies and identify favorable jurisdictions. For instance, companies often place subsidiaries in countries with favorable tax rates to optimize their global tax liabilities.
Want to take a deeper dive into this data? Check it out here!
