| DSSi Methodologies
Given the diversity, complexity, and increasing
inter-relatedness of the world, no one methodology is adequate
to the task of study and analysis. At DSSi, we employ a spectrum
of methodologies—from highly technical and quantitative
analyses to sociological methods and perceptual tools—to
appropriately and effectively quantify and qualify process,
representation, and structure of the systems we model. We
have enhanced reliable methods, and developed a number of
highly effective proprietary approaches to analyze and test
organizational fitness within the context of globalization.
They include:
Technical Analysis
- Operations research & operation analysis
- Structured analysis
- Object- oriented analysis
- Information theory
- Dependency analysis & consequence analysis
Economic & Financial
Analysis
- Micro- & macro-economics
- Network analysis
- Risk models
- Value models
- Game theory
Socio-economic Analysis
- Demographic analysis & domain affinities
- Cultural anthropology
- General systems theory
- Cybernetics
- Complexity & emergent system analysis
- Psychological profiling
- Epidemiology
Open-source Intelligence
Analysis
- Triangulation
- Single-outcome probability analysis
- Bayesian iterative reassessment
- Continuum probability analysis
- Dependency analysis
Semantic and Semiotic
Analysis
Cross-specialty Helmer-Dalkey
Delphi Pools
We complement
technical analyses with sociological methods to ensure that
the model does not lose touch with the system under study.
Similarly, we recognize that economic models suffer from being
pure or near-approximations of quantitative representations,
since the world is not purely numeric, and most metrics rest
on assumptions that are arbitrary. We pay particular attention
to the sourcing of information, as decision support is only
as good as one's input.
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