Рус Eng During last 365 days Approved articles: 2071,   Articles in work: 301 Declined articles: 784 
Library

Back to contents

Finance and Management
Reference:

Issues and trends in implementation of business intellect into the process of economic analysis in Russia and abroad
Mitrovich Stanislav

Ph.D. Candidate, the department of Accounting, Analysis and Audit, M. V. Lomonosov Moscow State University

119991, Russia, g. Moscow, Leninskie gory, 1, stroenie 46

Mitrovic.Stanislav@hotmail.com

Abstract.

The subject of this research is the issues and tents in integration of business intellect (BI) technologies as the organizational-technical and economic category of economic activity of the corporations in the conditions of advancements of the modern information society and economic space of the Russian Federation. The goal of this work lies in systematization and analysis of the aspects of international practice that should be given particular attention by the national organizations and enterprises of various types in the course of implementation of business intellect technologies, as they have a longer experience in this field. Leaning on the foreign experience and Russian sources, the author formulates the content and structure of spending tree for integration of business analysis solutions into the economic analysis of the development of modern organizations, which may be viewed as a generic source to calculate expenses for further expanding, considering the peculiarities of the activity of particular corporation, and its sectoral specifics. The author conducts defragmentation of specifics of expenses with regards to implementation of corporate and basic solutions in the area of BI; determines recommendations for various economic entities, including the small and medium business segment for the purpose of financial saving. Speaking of the possible adaptation of foreign practice, the author turns attention to the need for considering both, material and immaterial nature of the effect of implementation of business intellect technologies. The article also examines the strategy of role identification of specialists in realization of economic analysis using BI.

Keywords: intelligence, business, data, poorly structured, analysis, economic, tree, cost, information, technology

DOI:

10.25136/2409-7802.2019.2.28524

Article was received:

09-04-2019


Review date:

17-01-2019


Publish date:

10-04-2019


This article written in Russian. You can find full text of article in Russian here .

References
1.
Analiticheskoe obespechenie innovatsionnogo razvitiya biznesa / pod red. V.I. Barilenko. M.: Ekonomicheskaya gazeta, 2013. 304 s.
2.
Kolozhvari Yu.B. Upravlenie effektivnost'yu biznesa kak osnova kollaborativnogo upravleniya // Izvestiya Irkutskoi gosudarstvennoi ekonomicheskoi akademii. 2011. № 2. S. 137–141
3.
Luhn H. P. A Business Intelligence System // IBM Journal. 1958. № 4.
4.
Wu J. Business Intelligence: What is Business Intelligence? [Elektronnyi resurs] // DMReview.com. 2000. URL: http://www.dmreview.com/article_sub.cfm?articleId=1924 (data obrashcheniya: 16.12.2018).
5.
Mayer J. Business Intelligence for New-Generation Managers. Current Avenues of Development., M.: Springer, 2015.
6.
Moss L., Atre Sh. Business Intelligence. Roadmap. L.: Addison-Wesley, 2016.
7.
Turban E., Sharda R., Aronson J. Business Intelligence: A Managerial Approach. NJ: Pearson-Prentice Hall, Upper Saddle River, 2014.
8.
Rossiiskii rynok biznes-intellekta v 2016 godu: Ekspertnyi otchet kompanii Prognoz [Elektronnyi resurs] // Prognoz.ru. 2016. URL: http://www.google.com/webhp?client=aff-maxthon-maxthon4&channel=t3 (data obrashcheniya: 25.12.2018).
9.
Business Intelligence (rynok Rossii): Analiticheskii otchet analitiko-konsaltingovoi kompanii TAdvisor (2015-2016, prognoz 2017-2020). M.: TAdvisor group, 2016.
10.
BI v Rossii: osobennosti rynka: Sovmestnoe analiticheskoe issledovanie kompanii RBK i Softline. [Elektronnyi resurs] // RBK. 2015. URL: http://softline.rbc.ru/page/bi-v-rossii-osobennosti-ryinka/ (data obrashcheniya: 15.12.2018).
11.
Artem'ev V. Chto takoe Business Intelligence? [Elektronnyi resurs] // Otkrytye sistemy. 2003. № 4. URL: http://www.osp.ru/os/2003/04/182900/ (data obrashcheniya: 16.12.2018).
12.
Ermak S. Biznes s intellektom [Elektronnyi resurs] // Ekspert. 2013. № 12. URL: http://www.acexpert.ru/archive/12-549/biznes-s-intellektom.html (data obrashcheniya: 11.12.2018).
13.
Kochetkova E. Kak menyaetsya spros na BI-resheniya v Rossii [Elektronnyi resurs] // Tekhnoservis i Konsalting. 2014. URL: http://www.tsconsulting.ru/press/article.php?ELEMENT_ID=1751 (data obrashcheniya: 16.12.2018).
14.
Salmin A.A. Primenenie tekhnologii intellektual'nogo analiza dannykh dlya sovershenstvovaniya biznes-protsessov promyshlennogo predpriyatiya [Elektronnyi resurs] // V mat-kh nauch.-prakt. konf. «Sovremennye napravleniya teoreticheskikh i prikladnykh issledovanii – 2016». URL: http://www.sworld.com.ua/konfer42/26.pdf (data obrashcheniya: 15.12.2018).
15.
Chernyak L. Chto Business Intelligence predlagaet biznesu [Elektronnyi resurs] // Otkrytye sistemy. 2003. № 4. URL: http://www.osp.ru/os/2003/04/182906/ (data obrashcheniya: 15.12.2018).
16.
Val'ko V. E., Getmanova A. V. Analiz struktury i preimushchestv sistem biznes analiza [Elektronnyi resurs] // Ekonomika i menedzhment innovatsionnykh tekhnologii. 2015. № 9. URL: http://ekonomika.snauka.ru/2015/09/9667 (data obrashcheniya: 11.12.2018).
17.
Shevchenko I. V., Korobeinikova M. S. Novye integrirovannye struktury kak innovatsionnye formy razvitiya rossiiskoi ekonomiki: teoriya i praktika // Ekonomika: teoriya i praktika. 2014. № 3. S. 13-21.
18.
Kuznetsov S. Yu. Biznes-intellekt kak instrument upravleniya innovatsionnym predpriyatiem [Elektronnyi resurs] // Effektivnoe antikrizisnoe upravlenie. 2017. № 73. URL: http://info.e-c-m.ru/magazine/73/eau_73_177.htm (data obrashcheniya: 15.10.2017).
19.
Paklin N. B., Oreshkov V. I. Biznes-analitika: ot dannykh k znaniyam: Monografiya. SPb.: Piter, 2009. 662 s.
20.
Forrester Predictions 2018: a reckoning year: predictions guide [Elektronnyi istochnik]// Forrester Research, 2018. URL: https://go.forrester.com/research/predictions/ (data obrashcheniya: 20.03.2019).
21.
Lynch M. Bank of America Corporation : Research and Insights, 2016-2017 [Elektronnyi istochnik] / Bank of America Corporation, 2018. URL: https://www.ml.com/financial-research-and-insights/all.html (data obrashcheniya: 20.03.2019)
22.
Data Management : News & Commentary [Elektronnyi istochnik]// UBM, 2018. InformationWeek.com. URL: https://informationweek.com/data-management.asp (data obrashcheniya: 20.03.2019)
23.
Coates M. What Type of Self-Service BI Culture Do You Wish to Cultivate? [Elektronnyi resurs]. URL: https://melissa-coates.squarespace.com/entries/2014/6/20/what-type-of-self-service-bi-culture-do-you-wish-to-cultivate (data obrashcheniya: 20.03.2019)
24.
Gartner Hype Cycles 2016: Major Trends and Emerging Technologies [Elektronnyi resurs]. URL: https://www.gartner.com/webinar/3377422 (data obrashcheniya: 18.12.2018).
25.
Listopad M. E., Deruzhinskii G. V., Korolev D. A. Fazy obshchestvennogo vosproizvodstva, vzaimosvyaz' ego material'no-veshchestvennykh i stoimostnykh faktorov // Sovremennaya ekonomika: problemy i resheniya. 2014. № 12. S. 47-58.
26.
Double-Digit Growth Forecast for the Worldwide Big Data and Business Analytics Market Through 2020 Led by Banking and Manufacturing Investments, According to IDC [Elektronnyi resurs] // IDC.com. URL: http://www.idc.com/getdoc.jsp?containerId=prUS41826116 (data obrashcheniya: 20.03.2019).
27.
Bol'shie dannye v Rossii: novye proekty: Informatsionnyi reliz meropriyatiya k mat-lam nauchno-prakt. konf. M.: CNews Conferences, 2017. 12 s.
28.
All A. Self-service BI Initiatives Fall Short). [Elektronnyi resurs]. URL: http://www.enterpriseappstoday.com/business-intelligence/self-service-bi-initiatives-fall-short.html (data obrashcheniya: 20.03.2019)
29.
Business Intelligence for Airlines [Elektronnyi istochnik]// Triometric.net. 2018. URL: https://www.triometric.net/portfolio-item/business-intelligence-for-airlines-white-paper/ (data obrashcheniya: 20.03.2019)
30.
Breading M., Garth D. Big data in insurance. Beyond experimentation to innovation. Report, Strategy Meets Action, Boston: ICU, 2014. 50 r.
31.
Mizgier K.J., Kocsis O. Zurich Insurance Uses Data Analytics to Leverage the BI Insurance Proposition // Interfaces. 2018. N 48(2). Pp.94 – 107. DOI: 10.1287/inte.2017.0928
32.
TDWI Analytics. Research Reports [Elektronnyi resurs]. URL: https://tdwi.org/research/list/research-and-resources.aspx (data obrashcheniya: 20.03.2019)
33.
Ross J. The new intelligent enterprise. Do You Need a Data Dictator? [Elektronnyi resurs] // MIT Sloan Management Review. URL: http://sloanreview.mit.edu/innovation-hubs/the-new-intelligent-enterprise (data obrashcheniya: 20.03.2019).
34.
Pyle D. Business Modeling and Data Mining. L.: Morgan Kaufmann Publishers, 2014. 126 r.