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  • ВЫБОР СТРАТЕГИИ АВТОМАТИЗАЦИИ ФИНАНСОВОЙ ОРГАНИЗАЦИИ НА ОСНОВЕ КОЛИЧЕСТВЕННОГО SWOT -АНАЛИЗА
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News
April 28, 2026
Scientists Develop Algorithm for Accurate Financial Time Series Forecasting
Researchers at the HSE Faculty of Computer Science benchmarked more than 200,000 model configurations for predicting financial asset prices and realised volatility, showing that performance can be improved by filtering out noise at specific frequencies in advance. This technique increased accuracy in 65% of cases. The authors also developed their own algorithm, which achieves accuracy comparable to that of the best models while requiring less computational power. The study has been published in Applied Soft Computing.
April 27, 2026
Fair Division: How Mathematics Helps to Divide the Indivisible
How can items be allocated among participants so that no one feels short-changed? Alexander Karpov, Assistant Professor at the Faculty of Economic Sciences, and his Singaporean colleague, Prof. Warut Suksompong, set out to find a mathematical answer to this question. In this interview, they discuss how a model of rational preferences is constructed, why one cannot rely on a simple sum of values, and where an algorithm that asks a minimal number of questions can be useful.
April 24, 2026
Electronics of the Future: Why Superconductors and Spintronics Work Together
It was once believed that superconductivity and magnetism avoided each other like the devil avoids holy water. However, modern nanostructures prove the opposite. A Russian theoretical physicist and Indian experimentalists have joined forces to create the electronics of the future—free from energy losses. Nataliya Pugach, Professor at the School of Electronic Engineering at HSE MIEM and Leading Research Fellow at the Quantum Nanoelectronics Laboratory, explains how a long-standing acquaintance in Cambridge grew into a mirror laboratory project with the Indian Institute of Technology Bombay (IIT Bombay), how superconducting spintronics works, and what surprises a researcher in India beyond the university campus.

 

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ВЫБОР СТРАТЕГИИ АВТОМАТИЗАЦИИ ФИНАНСОВОЙ ОРГАНИЗАЦИИ НА ОСНОВЕ КОЛИЧЕСТВЕННОГО SWOT -АНАЛИЗА

Прикладная информатика. 2020. № 1(85). С. 5–18.
Ягант Т. В.

Usage of automated informational systems in the daily activities of a financial institution is the basis of its successful existence and development. The most common ways of automation in the financial sector based on own development or standard of automated banking systems (ABS) are no longer able to meet the increasing needs. That is why the use of successfully operating in other industries ERP systems becomes very attractive. For today, many researches has been done on the existing market of banking systems. There are also works describing the advantages of using ERP systems for automation of economic activities of the bank.  Nevertheless, it is quite difficult to make a choice about strategy of automation. The aim of the study is to identify and assess the strengths and weaknesses of each of the ways of automation and their ability to withstand the opportunities and threats of environmental factors. The method of quantitative SWOT analysis based on expert assessments was used for this study. The quantitative SWOT analysis matrices had been obtained because the study allow decision-makers in the field of IT strategy to have a more balanced approach to the choice of the development path. Comparison of SWOT matrices for analysis of automation paths allows making a conclusion about the preference of using ERP system as a basic system in the bank.

Research target: Computer Science Economics and Management
Priority areas: business informatics
Language: Russian
Full text
DOI
Text on another site
Keywords: экспертная оценкаSWOT-анализexpert surveyERPERP-системыSWOT-analysis ERP-systemsАБС
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