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Modern business analysis: tasks, opportunities and instruments

Annotation

The principal objectives, the business intelligence like classification, regression, clustering and the association are revealed. Their scope in the economy, the similarities and differences are described. Concepts such as Data Mining and KDD are studied. A brief overview of tools to resolve business problems is presented.

Keywords

Data Mining; KDD; classification; regression; clustering

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UDC

330.4

Pages

61-67

References

1. Paklin N.B., Oreshkov V.I. Biznes-analitika: ot dannykh k znaniyam [Business-Analytics: from Data to Knowledge]. St. Petersburg, Piter Publ., 2013, 701 p. (In Russian). 2. Gladysheva A.V., Vereshchagina P.Yu. Sovremennye metody prognozirovaniya spetsificheskogo trudovogo resursa na rynke truda [Modern methods of forecasting specific labour resource at the labour market]. Materialy Obshcherossiyskoy nauchnoy konferentsii: «14 Derzhavinskie chteniya. Akademiya ekonomiki i predprinimatel'stva» [Proceedings of the All-Russian Scientific Conference “14 Derzhavin Readings. The Academy of Economics and Entrepreneurship”]. Tambov, Publishing House of Tambov State University named after G.R. Derzhavin, 2009, pp. 99-104. (In Russian). 3. Vereshchagina P.Yu., Kotov A.S., Startsev M.V. Primenenie elektronnykh tablits dlya resheniya matematicheskikh i ekonomicheskikh zadach [Usage of Electronic Spreadsheets for Solving Mathematical and Economic Tasks]. Tambov, 2010. (In Russian). 4. Data-Mining [Data-Mining]. Natsional'nyy otkrytyy universitet «INTUIT» [National Open University “INTUIT”]. (In Russian). Available at: http://www.intuit. ru/studies/courses/6/6/lecture/170?page=3 (accessed 15.03.2017).

Received

2017-05-11

Section of issue

Economic sciences

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