Models | Quantum4D

Model

Model | leverage the architecture of information in analysis

Modeling 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:

Quantitative: statistical and other quantiative class of models, from (macro-economic to Black-Scholes).
Ontological: structures, standards and IDs (taxonomies, identifiers, location coordinates, relationship architectures)
Visual: graphic (2D and 3D) elements enable users to articulate visual representations of systems and the dynamics

Quantitative

Quantum4D takes quantitative modeling to a whole new level. By seperating the data layer and viewing layer, users can connect these via progressively more sophisticated models. Start with simple statistics and build up using the structure of the system itself as a foundation for more higher level models. For example, aggregation up taxonomies becomes incredibly easy with a simple copy and paste across systems. You can include cues and triggers in lenses that you paste across systems to enable easy alert monitoring of large scale systems. You can click here to learn a bit more or give us a call to find out how you can generate and then interactively tune large scale systems alerts using Quantum4D.

Ontological

Also known as the declarative aspect of systems, ontologies are important wherever big data meets our small world. You may have petabytes of data, but there are only 7 billion people working in about 50 million companies in about 3,500 industries in just over 200 countries.

You may have news feeds, network, sensor and even video data from the emerging internet of things, you may even mine social networks for sentiment on stock prices or markets... All of this gets a lot easier if you have Quantum4D's native capabilities to manage a hybrid of algorithmically generated (with whatever classifers), fixed (golden) and folk (user currated) frameworks for turning data and information into knowledge. Quantum4D makes this possible in a way that isn't possible without our hyper-generic API. Click here to learn more.

Visual

How often do you find yourself drawing diagrams to map the structure of a problem? Quantum4D brings this capability into the analytic environment. Diagrams can represent the nature of the system itself, or ways different elements of a quantitative model relate to each other. You can learn more here about how easy it is to create visual models of analytic or real-world systems.

Quantum4D allows you to:

Incorporate models for scenario analysis - change weightings on real-time data to see results

Large scale system modeling: combine formulas with taxonomies & relations to articulate systems

On-the-fly data transformations: toggle between standard views - rate of change, moving average, % change over any period of time to quickly explore different characteristics in large datasets.