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.