Adapting of International Practices of Using Business-Intelligence to the Economic Analysis in Russia
The present-day pace in development of the modern information technologies in Russia greatly exceeds the speed at which the methodological, recommendatory, standardization and regulatory/reference framework is being developed for the governing documents that are in force in our country and are actually used by economic entities. In many cases the present-day methodical tools of business intelligence used in the domestic environment lag behind the evolution of the information tools or turn out to be insufficiently adapted to the peculiarities of the economy.
This study is aimed at identifying the basics for integrating and adapting the world-wide experience of using business intelligence solutions (Business Intelligence, BI) for the business entities’ economic performance analysis in order to optimize this domain in the Russian environment for various purposes, including elaboration of an information quality improvement program and development of corporate-wide business intelligence systems.
Based on the analysis of foreign experience, the author substantiates the national companies’ capability of elaborating the data control methodology and ensuring data transparency. The author concludes the wider methodological directions in using the business intelligence, which may be extrapolated from the international practice to the national companies’ business. The author developed the data handling algorithm in the course of the economic performance analysis in companies by means of the BI-technologies. This algorithm implies successive conversion of such data into information, information - into understanding, understanding - into knowledge, and general knowledge - into the goal-oriented applied knowledge that facilitates decision-making.
KeywordsBusiness intelligence Data management Digitalization Economic analysis Information quality
- 2.Agapitou C, Bersimis S, Georgakellos D (2017) Appraisal of CRM implementation as business strategy option in times of recession: the role of perceived value and benefits. Int J Bus Sci Appl Manag 12(2):8–31Google Scholar
- 4.Barilenko VI (2014) Business analysis as a tool for sustainable development of business entities. Account Anal Audit 1:25–31Google Scholar
- 7.Data Management (31.03.2016) Accessed 27.10.2016 from Tadviser.ru http://www.tadviser.ru/index.php/Cтaтья:yпpaвлeниe_дaнными_(Data_management)
- 8.Data Management: [Analysis 2017] (2017) Accessed 19.01.2018, from InformationWeek: https://informationweek.com/data-management.asp
- 9.Davenport T, Petl DJ (2012) Data Specialist: the most sought-after profession of the 21st century. Harward Bus Rev 11:58–65Google Scholar
- 11.Forrester Predictions 2018: a year of reckoning: [predictions guide] (2017). Forrester.com. Accessed 15.01.2018, from Forrester Research: https://go.forrester.com/research/predictions/
- 12.Information Management 2017–2020: [Knightsbridge Solutions analytical report] (2017). Knightsbridge Solutions, ChicagoGoogle Scholar
- 13.Konoval DG (2009) Creating a unified regulatory information management system: approaches, technologies, stages and results. Gas Ind 8:26–29Google Scholar
- 15.Research & Insights [2016–2017] (2017) Retrieved 23.12.2017, from Merill Lynch: Bank of America Corporation: https://www.ml.com/financial-research-and-insights/all.html
- 16.Sheremet AD (2017) Comprehensive analysis and evaluation of financial and non-financial indicators showing sustainable development of companies. Audit 5:6–9Google Scholar
- 18.Suits VP (2012) The issues of management accounting organization and technology. The Moscow University Bulletin. Series 6: Economics, 3:94–102Google Scholar
- 19.Suits VP, Bayev AB (2018) The process-based approach to management accounting and analysis data generation. Audit Financ Anal 1:415–420Google Scholar
- 20.Yuhanna N, Leganza G, Lee J (15.06.2017). The Forrester Wave™: Big Data Warehouse, Q2 2017: [report]. Accessed 11.07.2017 from Forrester Research: https://www.forrester.com/report/The+Forrester+Wave+Big+Data+Warehouse+Q2+2017/-/E-RES136478
- 21.Zimin KV, Markin AV, Skripkin KG (2012) The impact of information technology on the performance of a Russian enterprise: methodology of empirical research. Bus Inform 1:40–48Google Scholar