scholarly journals A Study on Growth Process Model of Enterprise Information System in the Era of Big Data--Statistical Information System of Freight Train Formation

Author(s):  
Senling Chen ◽  
Wenli Zhang ◽  
Xiaofei Li ◽  
Jian Jin
Author(s):  
Valeriy Fedorovich Shurshev ◽  
Iurii Gostiunin

The article considers the problem of damage evaluation in case of failure of the information system. There have been analyzed the practical methods of assessing damage. It has been stated that the methods can reveal the dependence of the damage on the downtime of the information system, but they are unable to evaluate reputation, administrative or any other consequences. An algorithm is proposed by which specialists can conduct a comparative assessment of damage in case of failure of various information systems using expert information. Applying the proposed algorithm to different information systems, it is possible to determine the most critical systems and, on this basis, effectively plan operational impacts to increase the level of service availability.


2021 ◽  
Author(s):  
Naveen Kunnathuvalappil Hariharan

As organizations' desire for data grows, so does their search for data sources that are both usable and reliable.Businesses can obtain and collect big data in a variety of locations, both inside and outside their own walls.This study aims to investigate the various data sources for business intelligence. For business intelligence,there are three types of data: internal data, external data, and personal data. Internal data is mostly kept indatabases, which serve as the backbone of an enterprise information system and are known as transactionalsystems or operational systems. This information, however, is not always sufficient. If the company wants toanswer market and industry questions or better understand future customers, the analytics team may need to look beyond the company's own data sources. Organizations must have access to a variety of data sources in order to answer the key questions that guide their initiatives. Internal sources, external public sources, andcollaboration with a big data expert could all be beneficial. Companies who are able to extract relevant datafrom their mountain of data acquire new perspectives on their business, allowing them to become morecompetitive


2018 ◽  
Vol 18 (3) ◽  
pp. 333-338
Author(s):  
E. A. Vitenburg ◽  
A. A. Levtsova

Introduction. Production processes quality depends largely on the management infrastructure, in particular, on the information system (IS) effectiveness. Company management pays increasingly greater attention to the safety protection of this sphere. Financial, material and other resources are regularly channeled to its support. In the presented paper, some issues on the development of a safety enterprise information system are considered.Materials and Methods. Protection of the enterprise IS considers some specific aspects of the object, and immediate threats to IT security. Within the framework of this study, it is accepted that IS are a complex of data resources. A special analysis is resulted in determining categories of threats to the enterprise information security: hacking; leakage; distortion; loss; blocking; abuse. The connection of these threats, IS components and elements of the protection system is identified.  The requirements of normative legal acts of the Russian Federation and international standards regulating this sphere are considered. It is shown how the analysis results enable to validate the selection of the elements of the IS protection system.Research Results. A comparative analysis of the regulatory literature pertinent to this issue highlights the following. Different documents offer a different set of elements (subsystems) of the enterprise IS protection system. To develop an IS protection program, you should be guided by the FSTEC Order No. 239 and 800-82 Revision 2 Guide to ICS Security.Discussion and Conclusions. The presented research results are the basis for the formation of the software package of intellectual support for decision-making under designing an enterprise information security system. In particular, it is possible to develop flexible systems that allow expanding the composition  of the components (subsystems).


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