(Creative Relational Experience Dynamics)
CRED Analytics provides systematic analyses of complex systems where traditional models and linear assessment often fall short. We work with structures, strategies, and composite fields in which multiple considerations, actors, and time dimensions operate simultaneously.
The analyses focus on the system as a whole—not on individuals—and are designed for use in demanding decision-making situations in both the public and private sectors.
CRED Analytics is based on the CRED method, a new and independently developed analytical methodology for understanding complex systems. The method is designed for situations where:
The CRED method is patent-pending and represents a distinct methodological framework. It combines structural systems analysis, dynamic assessment, and field-based holistic understanding to reveal how a system actually functions— not merely how it is intended to function.
The method is designed to:
CRED Analytics is applied across a wide range of systems and problem areas.
Typical applications include:
Analysis of long-term strategies, assessing internal coherence, realism, feasibility, and likely consequences over time.
Assessment of plans (for example, municipal master plans, area zoning, and transformation projects) with a focus on structural weaknesses, conflicts of interest, and systemic risks.
Analysis of organisations as systems: governance structures, decision-making logic, internal tensions, information flows, and the capacity to realise stated objectives.
Analysis of complex societal fields where politics, economics, administration, and populations interact—often with conflicting goals and time horizons.
Assessment of issues that cut across sectoral boundaries, such as climate, preparedness, infrastructure, energy, or urban development, where fragmented analyses can be misleading.
Analysis of systems’ capacity to withstand stress, change, and crises—and identification of structural weaknesses before they materialise.
Support in situations where decisions must be made on incomplete information, with high uncertainty and significant consequences.
Structured exploration of plausible development paths and “second-order effects” to reduce blind spots and strengthen preparedness in planning.
Assessment of whether governance approaches, incentives, and organisational arrangements actually generate the intended dynamics—or instead create counterproductive lock-ins and friction.
The analyses are:
CRED Analytics does not provide advisory services directed at individuals and does not work with personal data. The focus is always on the system level.
All prices are incl. MVA (VAT).
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