Understanding the Structure Behind an Organization
Corporate ownership structures reveal how companies, subsidiaries, shareholders, and other entities are connected. They can show who owns what, how ownership is distributed, and how different organizations are connected within a larger corporate network.
Understanding these relationships is particularly important in finance. Ownership structures can provide valuable context for investment decisions, due diligence, risk assessment, and strategic analysis. A clear view of the underlying structure can help identify dependencies, influential stakeholders, potential risks, and opportunities that may not be obvious when looking at individual companies or documents in isolation.
The challenge is that ownership structures can quickly become highly complex. As the number of entities and relationships increases, conventional tables, diagrams, and reports can become difficult to navigate and understand.
Exploring Ownership Structures in XR
Data2Space does not aim to replace existing financial tools or analytical workflows. Instead, XR provides an additional way to understand, explore, and communicate information.
By arranging information freely in three-dimensional space, users can gain a different perspective on complex corporate structures. Spatial positioning and 3D visualization can make relationships easier to follow and allow users to explore large networks more naturally.
The environment can also become a shared space for discussion. Multiple people can examine the same structure, highlight relationships, discuss findings, and interactively present different aspects of the data. This makes XR useful not only for individual exploration, but also for collaborative analysis and decision-making.
Another advantage is the ability to bring multiple data sources into the same environment. Information from different systems can be visualized together and connected spatially, creating a broader picture of the company and its surrounding network.
Data2Space GraphExplorer
GraphExplorer makes this type of exploration accessible with a simple workflow.
Existing 2D data can be imported from different sources—often using data that is already available within an organization. GraphExplorer then automatically converts this information into a 3D spatial representation, making complex relationships ready to explore in an interactive environment.
Because the resulting data structure remains open and flexible, the same information can be visualized across different platforms and applications. Environments such as Noda, RAUM, or Arthur can be used depending on the requirements of the use case, allowing organizations to combine the strengths of different immersive platforms without having to rebuild their underlying data.
Explore an example yourself in XR
The Data2Space WebXR experience provides a direct way to access the same spatial information through a browser. Think of it as a window into the 3D data space: open the experience on an XR headset and bring the ownership structure directly into your environment.
Just open this Page in the Browser of your XR Device to explore a corporate ownership structure directly in your living room.