EDAQS | About
page-template,page-template-full_width,page-template-full_width-php,page,page-id-6979,vcwb,ajax_fade,page_not_loaded,,wpb-js-composer js-comp-ver-3.6.12,vc_responsive

A New Era of Digital Information

Sorry, It looks as though your browser does not support the canvas tag... If you can, I suggest that you should try firefox or Safari.

The EDAQS (acronym for Electronic and Digital Automated Quotation Systems – singular DAQ) are versatile, transparent, scientific and final quotation systems that define the conclusive value of a subject.

In the age of digital information and the resulting daily information overload, the task of a DAQ is to determine a final benchmark based on relevant information.
A DAQ not only summarizes a representative value, but also uses a fine-tuned algorithm to determine the best possible and most precise quotation of a value under strict industrial and scientifically observation to optimize the results and the precision.

By expanding the algorithm and influencing important factors, the DAQ ultimately offers an unlimited evaluation possibility which can be of use to solve problems in any imaginable industry and market.
The way how the data is being computed to finally result in a significant value, is excellently multi-layered but kept logical and transparent in real-time, and furthermore, based on scientifically proven concepts to quantify facts into an accurate value.
The endless diversity and the limitless ranges of application of the DAQ introduces a new era of evaluation.

DAQ systems are not the usual digital estimation tools and instruments you may know from the capital markets or other industries.

Created in 2008, out of the desire to create more transparency in several industries, we started out to specialize in the automated and digital quantification of hard to quantify items, such as jobless numbers for a country in economics or the market popularity of a professional fashion model.

While for example banks, use jobless numbers to create their internal prognostic tools, we append an algorithmic trigger mechanism that preprocesses such data to quantify and evaluate the value of this information.

In the further event these numbers will offer you an extended set of multi-levelled and crucial information, which includes the most accurate prognosis of the effects caused by an increasing or decreasing jobless number. In the same moment, when our quality-monitored algorithms process this new number, the user of the system – in this case an IRDAQ II user – would immediately see the reaction caused by this changes and is able to respond accordingly.

But that isn’t all. While we emphasize in-depth calculations that are actually the core of each DAQ, we also respect the existing markets and values.

With the IRDAQ II as a good example, the algorithm includes for example several ratings from renowned credit rating agencies, such as Moody’s , Standard & Poor’s and Fitch just to mention a few. At the same time, their internal weighing in the final rating value will be dynamically adapted to their objective hit ratio and accuracy of their ratings.

Today, some of our EDAQS are outstanding examples of how powerful digital information can be quantified and converted into an unrivaled and crystal clear regulatory tool, which hasn’t only the “raison d’être” but moreover the obligation to provide full transparency and veridical facts.

With success. Our mission is almost complete.









EDAQS. The end of all poor standards.