Models
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Model | leverage the architecture of information in analysisModeling can mean several different things depending on who you talk to. Whether it's financial, data domain or statistical in nature, Quantum4D can be leveraged to let you see the system structure visually. In Quantum4D we use the word model to refer to three distinct categories of data intelligence:
You'll find links to several examples below.
Quantitative A familiar and simple formula language allows expression handling & transforming existing data using operators & functions. Your work can then be saved as model templates and either be shared or modified by you or your peers.
A free Excel Add-in allows easy round trip motion of data and results with Excel (csv and other formats are supported as well). Beyond the numbers you can easily integrate alphanumeric (string) news, RSS or other text feeds. This combination of system ontology, analytic expression, data feeds and qualitative descriptions significantly drives faster access to deeper insight. Statistical Standard Deviation Percent Change, Rate of Change, Moving Average...%Chg., Linguistic Kitenga: entity extraction from text (you want to know all the references to people and places in the WSJ).
Ontological In information science, ontologies formally represent knowledge as a set of concepts within a domain, and the relationships between those concepts. Stated simply, ontologies basically describe the architecture of what you know. One of the unique capabilities of Quantum4D is that it allows you to leverage these in your analysis of systems. Whether market maker positions or supply chains, different systems have different frameworks that can be leveraged in both statistical and visual modeling.
Ontologies are built up from entities, relations, taxonomies, and attributes on these. The best ontologies are 'transparent.' Meaning that you shouldn't be thinking about them or even aware of them when you use them. We suggest you don't worrry about ontologies at first. As you explore Quantum4D spaces you'll start to want to add your own structure. The basic concepts should then seem familiar and natural.
Data Standards You can learn more about Quantum4D leverages various standards here: Entity symbols: BICs, Ticker Symbols Taxonomies ( SIC, NAICS, GICs)
System & Iconographic
Visual Systems
Quantum4D can unveil the architecture of information in systems; this in turn allows for the visualization of systems as such. You can learn more about that with these first examples: Ontonix: you want to know how stable or robust a system or business is. CIFER: modeling the Canadian banking system Industry Specific ICT Information Communication Technology Bank Identifiers and Subsidaries and reporting structures. Formal Ontologies OWL (Additional Examples to be posted shortly). Nested Taxonomies Supply Chains Geographic Infoglyphs |
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