Subject The article analyzes the possibilities for applying the best practices related to business intelligence systems as information support to economic analysis of companies. Objectives The study focuses on defining possibilities for adaptation of foreign experience in using business intelligence solutions in the economic analysis of company operations to optimize the given sphere in Russian conditions. The purpose is to draw up a program for information quality enhancement and company-wide business intelligence system development. Methods The study rests on the tenets of the theory of information and business analysis, and on innovative research on the issue of applying business intelligence in the analysis of company activities. Results The paper formulates a definition of business intelligence as applied to the economic analysis, underpins opportunities of Russian organizations for developing a methodology for control over information and data to ensure transparency. I provide a practical solution for the development of economic analysis of company business activities in the form of computer program. Its aim is to forecast and perform a scenario analysis of financial performance of organizations. Conclusions The Russian market of business intelligence keeps pace with the global market as to accessibility of advanced technologies. However, there are some challenges in relation to introduction and application of business intelligence for the purposes of economic analysis. There is a need for further elaboration of methodology for business intelligence systems implementation as a comprehensive tool to manage various processes of modern business.
Keywords: business intelligence, economic analysis, information quality, data management
Lugachev M.I. [Information Revolutions, Economics and Economic Education]. Vestnik Moskovskogo universiteta. Ser. 6: Ekonomika = Moscow University Economics Bulletin, 2017, no. 4, pp. 142–160. (In Russ.)
Avdeeva I.L. [Developing the information infrastructure of management under knowledge economy formation]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2017, vol. 16, iss. 3, pp. 521–532. (In Russ.) URL: Link
Mitrovic S. [Specifics of the integration of Business Intelligence and Big Data technologies in the processes of economic analysis]. Biznes-informatika = Business Informatics, 2017, no. 4, pp. 40–46. URL: Link/215765588.html (In Russ.)
Mitrovic S. Adapting of International Practices of Using Business-Intelligence to the Economic Analysis in Russia. In: Digital Transformation of the Economy: Challenges, Trends and New Opportunities, S. Ashmarina, A. Mesquita, M. Vochozka (eds). Springer, Cham, 2019, pp. 129–139.
Barilenko V.I. [Business-analysis as a tool for sustainable development of economic entities]. Uchet. Analiz. Audit = Accounting. Analysis. Auditing, 2014, no. 1, pp. 25–31. URL: Link (In Russ.)
Suits V.P., Khorin A.N. Novye podkhody k razvitiyu sovremennogo upravlencheskogo ucheta, kontrolya i analiza khozyaistvennoi deyatel'nosti. V kn.: Uchetno-analiticheskoe obespechenie – informatsionnaya osnova ekonomicheskoi bezopasnosti khozyaistvuyushchikh sub"ektov: sbornik nauchnykh trudov i rezul'tatov sovmestnykh nauchno-issledovatel'skikh proektov [New approaches to developing the modern managerial accounting, control and analysis of economic activity. In: Accounting and analytical support as an information basis of economic security of business entities: proceedings and results of joint research projects]. Moscow, Auditor Publ., 2017, pp. 357–361.
Dregnin O.E., Kamolov S.G. [Government support to innovation in Russia at the present stage: Searching for effective mechanisms]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2018, vol. 17, iss. 12, pp. 1419–1429. (In Russ.) URL: Link
Arel I., Rose D.C., Karnowski T.P. Deep Machine Learning—A New Frontier in Artificial Intelligence Research [research Frontier]. IEEE Computational Intelligence Magazine, 2010, vol. 5, iss. 4, pp. 13–18. URL: Link
Suits V.P. [Problems of the Organization and Technology of Management Accounting]. Vestnik Moskovskogo universiteta. Ser. 6: Ekonomika = Moscow University Economics Bulletin, Ser. 6: Economics, 2012, no. 3, pp. 94–102. URL: Link (In Russ.)
Zimin K.V., Markin A.V., Skripkin K.G. [IT impact on the firm productivity in Russia: Methodology of empirical investigation]. Biznes-informatika = Business Informatics, 2012, no. 1, pp. 40–48. URL: Link (In Russ.)
Sheremet A.D. [Comprehensive analysis and evaluation of financial and non-financial indicators of sustainable development of companies]. Audit, 2017, no. 5, pp. 6–9. (In Russ.)
Bolodurina M.P., Mishurova A.I. [Information support to digitization of operations of tourism industry entities]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2018, vol. 17, iss. 9, pp. 1710–1728. (In Russ.) URL: Link
Vasin N.S. [Managing the enterprise sustainability in the digital economy]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2018, vol. 17, iss. 6, pp. 1100–1113. (In Russ.) URL: Link
Pakhomov A.V., Pakhomova E.A., Rozhkova O.V. [Applying the econometric tools to analyze a cost management process]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2018, vol. 17, iss. 12, pp. 1459–1477. (In Russ.) URL: Link
Bobryshev A.N. [A KRISIS-analysis methodology in the information support to economic entity's decisions]. Ekonomicheskii analiz: teoriya i praktika = Economic Analysis: Theory and Practice, 2018, vol. 17, iss. 2, pp. 285–307. (In Russ.) URL: Link