The concept of Business Intelligence (BI) is the most effective decision for optimization of processes of preparation of the analytical reporting in the growing companies now. The organization of access for end users and the analysis of the structured quantitative data on business is the cornerstone of the BI technology. Business Intelligence has a wide range of users at the enterprise, including heads, economists and analysts. In the conditions of the continuous growth of volumes of business the number of "small" reports grows, generating a set of the mistakes and divergences caused by the conflicts of interests of separate divisions. One of the advanced approaches of the solution of this problem is the concept of KPI allowing to define the purposes of the company in general and also its structural divisions on various periods, quickly to correct these purposes and to reconstruct system of the reporting as appropriate. One more important point in BI system – information delivery systems to the end user. They can be developed by own forces, however such approach in modern realities of narrow specialization is inefficient from the point of view of a ratio of expenses and quality of a product. In the software market there are some large producers of the Business Discovery appendices, for example – Qlik Tech and Tableau Software offering products by means of which it is possible to develop own system of visualization quickly enough. The cost of these products will pay off quickly enough as it is significantly lower than costs of own team of developers or of the appendices which are specially developed for this company. The expenses connected with support of the appendix in case of use of the Business Discovery platform will be also lower as for updating of the application one trained employee in staff suffices.

business, reporting, informatization, economic indicators, analysis

1. 1 Pawar B.S., Sharda R. Obtaining Business Intelligence on the internet. Long range planning. 1997. no. 30 (1). pp. 110–121.

2. 2 Tokarev Yu. A., Voronkova S. M. Analysis of the development of the telecommunications industry in the Samara region. Vestnik Samarskogo gosudarstvennogo universiteta putei soobshcheniya [Vestnik of Samara state University of Railways]. 2014. no. 1. pp. 25–33. (in Russian).

3. 3 Tokarev Yu. A., Persteneva N. P. Dinamika urovnya informatizatsii ekonomiki Samarskoi oblasti [Dynamics of the level of Informatization of Economics of the Samara region] Samara, As Gard publ., 2010. 238 p. (in Russian).

4. 4 Salmin A. A. Application of technology Business Intelligence to manage business processes of an enterprise. Aktual'nye problemy gumanitarnykh i estestvennykh nauk [Actual problems of humanitarian and natural Sciences]. 2016. no. 3. pp. 83–86. (in Russian).

5. 5 Borzhesh A. M. Improving the effectiveness of decisions managers based on the system BI (Business Intelligence). Novyi vzglyad [New look]. 2016. no. 13. pp. 72–81. (in Russian).

6. 6 Akmaeva R. I., Mineva O. K., Lunev A. P. Mineva O.K.Lunev A.P. Peculiarities of staff performance appraisal with the use of balanced scorecard in the area of public and corporate management // Asian social science. 2015. № 11. С. 160–164.

7. 7 Naneishvili G. Qlikview – business intelligence next-generation Business Discovery Capabilities optimum solutions and benefits for business Available at: http://mobility-day.it.ru/images/pdf/16_qlik.pdf (in Russian).

8. 8 Dmitriev P. A., Naumov V. N. Gosudarstvo i biznes. Sovremennye problemy ekonomiki: Materialy 8 Mezhdunarodnoi nauchno-prakticheskoi konferentsii [The government and business. Current issues in Economics: proceedings of the 8th International scientificpractical conference]. Saint-Petersburg, Volume 1. 2016. pp. 66–71. (in Russian).