Abstract
The effectiveness of methods for forming a comprehensive information facility to make targeted decisions in high-tech industries is determined by the systematic organization of processes aimed at measuring costs and results in automated systems. The formation of such information facilities in terms of ensuring unity and comparability of information is considered. The main indicators are the description and language implementation of models of automated quality assurance systems, ways to ensure the unity of information and consistency of requirements, metrics of integrity and comparability of data in systems.
Highlights
IntroductionModern automated enterprise-level systems, especially when merged into integrated automated control systems (IASU), contain a large number of sources: databases, knowledge databases, electronic libraries, systems processing, receiving and transmitting information
Modern automated enterprise-level systems, especially when merged into integrated automated control systems (IASU), contain a large number of sources: databases, knowledge databases, electronic libraries, systems processing, receiving and transmitting information. In such circumstances, making qualitative decisions inevitably leads to the need to share more than one of the available sources. This sharing requires not just simultaneous extraction of information, but its merging into a single information object, allowing decisions to be made at the right level. [1].At the same time, the receipt of a comprehensive information facility must be carried out within a certain time, otherwise the information may lose its value or even lead to the adoption of a dangerous decision for the enterprise as a whole[2]
4.The automated system is necessarily regarded as an integral part of the integrated automated enterprise management system
Summary
Modern automated enterprise-level systems, especially when merged into integrated automated control systems (IASU), contain a large number of sources: databases, knowledge databases, electronic libraries, systems processing, receiving and transmitting information In such circumstances, making qualitative (i.e. in each situation - correct, adequate, correct, timely, etc.) decisions inevitably leads to the need to share more than one of the available sources. Extracting data of varying quality (including contradictory and poorly agreed) and data from multiple sources to an automated system, followed by the use of means to resolve, reconcile and extract reliable information This approach generally requires a complex system of harmonization of the information received and can be applied in cases where a priori input is "low-quality" (incomplete, untimely or erroneous).
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