In an increasingly interconnected economy, resilience is no longer merely a question of individual well-being. It is becoming a factor in organizational stability, decision quality and, ultimately, economic competitiveness. The chapter “Resilience in Emergencies: Psychophysiological Foundations and Structured Development of Soft Skills in High-Stress Contexts” (German: Resilienz im Ernstfall: Psychophysiologische Grundlagen und strukturierte Entwicklung von Soft Skills in Hochbelastungskontexten) by Tanja Gatzke develops precisely this perspective. The contribution has been published in Soft Skill Rating, edited by Dr. Oliver Everling and Dominik Wever and published by Springer Gabler in 2026.

Gatzke argues that resilience and soft skills should not be regarded as an optional “soft” addition to professional expertise. Rather, they provide an important foundation for maintaining the ability to think, communicate and act effectively under pressure. In high-stress environments, she emphasizes, technical knowledge alone is insufficient: people must remain capable of regulating emotions, communicating clearly, making decisions and cooperating with others even when uncertainty is high.

This observation becomes particularly relevant when looking at the financial sector. Analysts, managers and decision-makers regularly have to process complex information under time pressure and with potentially significant financial and strategic consequences. Gatzke describes how stress can narrow perception and make it more difficult to consider complex relationships, alternative options and social signals. From an economic perspective, this can translate into poorer decisions, overlooked risks and weakened organizational resilience.

From soft skills to financial structures

The connection between resilience and finance is also a question of how information itself is perceived and understood. Financial decision-making rarely depends on one isolated figure. Ratings, ownership structures, investments, risks, ESG indicators, transactions and market developments are interconnected. Understanding one element often requires understanding its relationships with many others.

This is precisely where the perspective of Data2Space becomes relevant. Data2Space describes its approach as “Turn Data into Space”: complex corporate and financial data are transformed into interactive three-dimensional environments in which users can explore structures, relationships and connections that may be difficult to recognize in conventional two-dimensional representations.

The idea is not simply to make financial information look more impressive. The spatial approach changes the way people can interact with complexity. Instead of moving between spreadsheets, reports and disconnected diagrams, analysts and decision-makers can navigate a shared information environment, move between different levels of detail, filter relationships and investigate how individual elements relate to the larger structure.

For finance, this can be particularly powerful. Data2Space identifies applications including corporate ownership structures, investment portfolios, credit and risk analysis, due diligence and mergers and acquisitions. Its Immersive Finance approach is based on the premise that financial markets are networks of relationships rather than collections of isolated data points.

Seeing what is difficult to see

The connection to Gatzke’s work is especially interesting at the level of decision-making. Her chapter points out that under pressure, the human system tends to focus on immediate problems, while the ability to consider complex contexts can deteriorate.

Spatial visualization can offer a complementary response to this challenge. It does not remove the pressure of a decision or replace human judgment. But it can provide a different cognitive environment in which relationships are easier to explore.

A corporate structure, for example, can contain parent companies, subsidiaries, cross-shareholdings, investors and different layers of influence. On a conventional spreadsheet, these relationships may be distributed across numerous rows, columns and documents. In a three-dimensional information space, they can instead become a navigable network. Users can move from an overview to a particular company, follow an ownership relationship and then investigate the associated financial or risk information. Data2Space calls this transformation a spatial layer for complex enterprise information.

The same principle can be applied to portfolios. An investment is not simply an asset with a performance figure. It can be connected to sectors, regions, companies, currencies, risks and other investments. A spatial representation can make these connections part of the analytical experience and help users identify concentrations, dependencies and relationships from different perspectives.

From data visualization to shared understanding

Another important aspect is collaboration. Gatzke stresses that resilience is not only an individual capability. It also affects team dynamics and the ability of organizations to remain functional under pressure. She describes the relationship between resilience and soft skills as reciprocal: resilience provides the basis for applying soft skills under pressure, while well-developed soft skills can in turn stabilize resilience.

This organizational perspective fits naturally with Data2Space’s collaborative approach. Several participants can explore the same information space, discuss relationships and examine findings together. Rather than merely sharing a screen or presenting a sequence of slides, participants interact with a common spatial model of the information.

That distinction matters in financial communication. Complex information is often not difficult because the individual data points are incomprehensible. It is difficult because there are too many relationships between them. A shared three-dimensional environment can therefore become a meeting place for analysis: one person can identify a relationship, another can investigate its financial implications, and a third can challenge the interpretation.

In this sense, visualization becomes more than presentation. It becomes part of the process through which organizations develop a common understanding.

The financial dimension of resilience

Gatzke’s argument ultimately points beyond stress management. Her conclusion is that resilience can be understood as organizational capital and that resilient structures may become relevant to economic assessments. She specifically argues that companies with comparable technical performance may nevertheless be assessed differently if one has demonstrably established resilient structures, prevention programs and systematic soft-skill development.

This opens an intriguing perspective for financial analysis. If resilience, leadership quality, organizational structures and other non-financial factors increasingly matter for the stability and long-term performance of companies, the challenge is not merely to measure them. The challenge is also to understand how they interact with conventional financial information.

A future rating or corporate intelligence environment could therefore connect financial indicators with organizational and behavioral information. Instead of treating these dimensions as separate categories, an interactive information space could allow users to explore their relationships.

This is where the concepts of Soft Skill Rating and Immersive Finance meet. The first asks how social and organizational competencies can be systematically assessed and developed. The second asks how increasingly complex financial and corporate information can be represented in a way that makes its relationships understandable. Together, they point toward a broader concept of decision intelligence in which quantitative and qualitative information can be examined within the same context.

Understanding complexity instead of simplifying it away

The real promise of 3D visualization is therefore not that three dimensions are automatically better than two. Data2Space itself emphasizes that the key difference lies in combining spatial representation with interaction, data analysis and collaboration.

This is particularly important for financial applications. Complex systems cannot always be reduced to a single dashboard without losing relationships and context. A spatial information environment can preserve more of that complexity while still allowing users to navigate it.

The result is a shift from looking at data to exploring information. A financial analyst can investigate a structure rather than merely read about it. A manager can explore a risk network rather than view isolated indicators. A team can discuss the same information model rather than interpret different spreadsheets independently.

For the financial industry, this could become increasingly relevant as data volumes, regulatory requirements and interconnected risks continue to grow.

From resilience training to resilient decision-making

The broader message of Gatzke’s contribution is that organizations should prepare people not only to perform under normal conditions but also to remain capable of effective action when circumstances become difficult. Her chapter describes a progression from recognizing stress patterns and stabilizing physiological responses to developing communication, emotional regulation and self-management skills and transferring these capabilities into everyday professional life.

Data2Space approaches the other side of the same challenge: the information environment in which decisions are made. By creating spatial representations of interconnected data, it seeks to make complexity more accessible, navigable and collaborative.

People need resilience to make good decisions under pressure. They also need information environments that enable them to see the relationships relevant to those decisions.

The combination is potentially significant: resilient people, connected information and spatially understandable complexity.

An opportunity to continue the discussion

These questions are not limited to finance. They are equally relevant to critical infrastructure, cybersecurity and crisis management—areas in which organizational resilience and the ability to understand complex situations are closely connected.

Against this background, Tanja Gatzke is also organizing the BVMW event “KRITIS-Check-up: Das Präventionsfrühstück” on 3 November 2026, from 9:00 a.m. to 1:00 p.m., at Ecos Work Spaces in Wiesbaden. The event focuses on the relationship between physical security and cyber resilience and brings together experts including POLIZEI DEIN PARTNER, Securitas, CANCOM and the Hessian State Criminal Police Office. According to the supplied event information, the program is aimed particularly at decision-makers and managers from critical infrastructure sectors, explicitly including the financial sector.

The event’s emphasis on prevention, situational awareness and the ability to maintain operations in a crisis provides a practical counterpart to the issues raised in Gatzke’s published chapter. Her work highlights the human and psychophysiological dimension of resilience; the KRITIS event expands the perspective toward physical security, cyber resilience and organizational preparedness.

And Data2Space adds yet another dimension: making complex relationships visible.

Whether the subject is corporate ownership, financial risk, critical infrastructure or organizational resilience, the fundamental challenge is similar. Modern organizations operate within networks of dependencies that are increasingly difficult to comprehend through isolated documents and two-dimensional representations. Spatial visualization can help turn these relationships into something people can explore, discuss and understand together.

The future of financial intelligence may therefore not be defined solely by more data, faster algorithms or more sophisticated dashboards. It may also depend on our ability to create information environments in which human beings can actually see the system they are trying to understand.