A single DAQ is a composite of many different entities. These entities can exist across environments associated with the development, delivery, and usage of the DAQ. The characteristics of DAQ entities may themselves be different.
For example, a DAQ in the development environment may be a source part while a DAQ in the production environment may be an external object. A DAQ may include other EDAQS or a so-called Sub-DAQs (SDAQs). The owner of these entities is usually the same as for the final DAQ.
These entities may also be part of another EDAQS product, which exists at some maintenance level.
The problem today is that there is no automated mechanism to evaluate an item via a multi-layered product that integrates quantification of complex and non-numeric data.
For example, the Wolfram products provide a mechanism for developing custom corporate solutions that claim to solve business problems, but their computational models manage the algorithms in a totally different manner than our EDAQS.
EDAQS are the first and unique digital automated quotation systems in its form, especially with diversified quantification as a core element. This includes hard to quantify elements but also numbers that are quantified through calibrated and smart-weighted algorithms.
No system that uses these technologies is known to date of this defensive publication. Depending on the nature of the DAQ, the system offers open and transparent or semi-transparent algorithms.
The objective of this disclosure is to increase the protection of the methodology, common processes, algorithm designs and the overall structure of the DAQ. This protection includes all core elements, which are partially patented and protected by international law in many EDAQS.
This disclosure covers all EDAQS products, including but not limited to corporate products that are not published to date. Each DAQ will have its own additional defensive publication that is either published through the product portfolio, to the DAQ-owner’s corporate website, on governmental or NGO websites and/or on demand, if the disclosure requires a higher confidentiality.
As part of the defensive publication, we strictly disallow the usage of any value from a DAQ to be included in a higher instance than the DAQ itself.
Another objective of this disclosure is prevent algorithm and concept theft. Any non EDAQS-related product that uses the herein specified methodologies shall face legal persecution, unless the infringing entity sings a cease and desist letter and confirms to have acted in good will.
The basic methodology that is required to make this defensive publication effective is described below:
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 in which 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.