THE COGNITIVE MODELING TECHNOLOGY FOR THE FINANCIAL ANALYSIS OF THE FINANCIAL-ECONOMY ACTIVITY OF THE ORGANIZATION
Objective. The increase in the efficiency of functioning of the (credit) organization due to the realization of procedure of the horizontal, vertical and trend (microscopic) financial analysis based on the formed innovative analytical coefficients system in the parametrical cognitive models block. M...
Saved in:
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | Russian |
| Published: |
Dagestan State Technical University
2019-06-01
|
| Series: | Вестник Дагестанского государственного технического университета: Технические науки |
| Subjects: | |
| Online Access: | https://vestnik.dgtu.ru/jour/article/view/627 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Objective. The increase in the efficiency of functioning of the (credit) organization due to the realization of procedure of the horizontal, vertical and trend (microscopic) financial analysis based on the formed innovative analytical coefficients system in the parametrical cognitive models block. Method. The financial analysis of the highly-integrated enterprises and (credit) organizations. Result. The innovative parametrical cognitive models block is the information basis of the (microscopic) financial analysis, contains the cognitive models for the horizontal, vertical and trend financial analysis of the enterprise or (credit) organization based on the formed analytical coefficients system, each from which acts as the difficult repertoire of parameters (indicators), echeloned to a number of portraits and stratificated to the several independent sets located on two different levels of the specified hierarchy (structure). Conclusion. The financial analysis of the highly-integrated (credit) organizations initiates the need of the accounting of a wide range of the different scientific fundamental and applied directions of modern science, and also causes the need of use of the innovative device of research. |
|---|---|
| ISSN: | 2073-6185 2542-095X |