In summary, CFAR-m helps to describe complex reality with many interacting fields; to extract knowledge, deliver metrics, simulations, and build powerful models.
CFAR-m is fully working for R&D and consulting. For industrial solutions or volumes of data exceeding our current resources it needs specific developments that need time and investment..
CFAR-m works only as a service and is never delivered as software a package to protect our 10 years of investment in its development. However, any solution that would be totally protecting the absolute confidentiality of CFAR-m can be discussed.
CFAR-m works with quantitative structured data; we can always see how to convert other forms of data when possible.
CFAR-m is an algorithm that allows, from recorded data, to describe very highly complex situations with many sectors interacting with one another. Then, with complete neutrality (no presupposition), CFAR-m can extract deep knowledge/information and build models to make decisions. It is a powerful tool to find the root causes and so treat the origins of a problem and not to react “off the cuff” to consequences with crazy costs and generally for not satisfying results
However, you call the techniques: analytic, root causes, complexity, or any other ... If you want to manage a problem you have to first understand it and then get metrics to manage it.
There are tools that offer similar functionalities to CFAR-m, but unlike CFAR-m they use different theoretical backgrounds and algorithms, which have not the same level of coherence and so cannot deliver the same level of quality and efficiency.