{"id":13612,"date":"2020-05-20T11:52:09","date_gmt":"2020-05-20T08:52:09","guid":{"rendered":"https:\/\/modecon.mnau.edu.ua\/?p=13612"},"modified":"2020-05-20T12:02:35","modified_gmt":"2020-05-20T09:02:35","slug":"software-and-information-support-for","status":"publish","type":"post","link":"https:\/\/modecon.mnau.edu.ua\/en\/software-and-information-support-for\/","title":{"rendered":"Tytenko, L., Bohdan, S., Kliuchko, O. & Tymoshenko, V. Software and information support for business analysis in enterprise management"},"content":{"rendered":"

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JEL Classification<\/strong>: L86, M40
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DOI<\/b>: https:\/\/doi.org\/10.31521\/modecon.V20(2020)-42<\/a><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Tytenko\u00a0Larysa<\/strong>, PhD in Economics, Associate Professor, Associate Professor of the Department of Management Accounting, Business Analytics and Statistics, University of the State Fiscal Service of Ukraine, Irpin, Ukraine<\/p>\n

ORCID ID<\/strong>: 0000-0002-8600-1973<\/a>
\ne-mail<\/strong>:
tytenkolv@gmail.com<\/a><\/p>\n

Bohdan\u00a0Sviatoslav<\/strong>, Assistant of the Department of Management Accounting, Business Analytics and Statistics, University of the State Fiscal Service of Ukraine, Irpin, Ukraine<\/p>\n

ORCID ID<\/strong>: 0000-0002-3249-7096<\/a>
\ne-mail<\/strong>:
s.v.bohdan@nusta.edu.ua<\/a><\/p>\n

Kliuchko\u00a0Olena<\/strong>, applicant first higher education (bachelor) level, University of the State Fiscal Service of Ukraine, Irpin, Ukraine<\/p>\n

Tymoshenko\u00a0Viktoriia<\/strong>, applicant first higher education (bachelor) level, University of the State Fiscal Service of Ukraine, Irpin, Ukraine<\/p>\n

 <\/p>\n

Software and Information Support for Business Analysis in Enterprise Management<\/h2>\n

 <\/p>\n

Abstract. Introduction<\/strong>. In the last decade, particular interest has been related to the development of business analysis as a direction for developing a system of views on information and analytical support for flexible governance: methodology for collecting, streamlining, transforming, monitoring, analyzing and using information in shaping the modern knowledge economy. Business Analysis integrates modern business intelligence systems and techniques for generating, forecasting, valuing and monitoring key metrics and dashboards using modern visualization techniques. Business Intelligence systems are a variety of tools and technologies for automating company-wide analysis and processing of data, including data warehouses, data marts, OLAP systems, knowledge discovery tools, end-user tools designed to fulfill information requests, build different purpose and structure of reports<\/p>\n

Purpose<\/strong>. The use of Business Intelligence tools in modern business has become a vital necessity, but, in fact, modern information systems are solving the traditional problems of improving accounting (both financial and management) \u2013 the task of improving its efficiency and analytics. But, of course, they are solved on a new technical base, with immensely technological capabilities to collect, transmit, process, store huge amounts of information and provide the necessary information to decision-makers in a convenient way. The main thing here is that there are similar tasks for management needs. In this regard, it is useful to recall the functional structure of management, because in the management system, the technological stage of decision making is implemented by three functions \u2013 information, control and analytical. The information and control functions provide the conditions for the implementation of the analytical function. It is logical that due to this business analysis should inevitably play the role of a task manager for accounting, information and control systems created on the BI-platforms.<\/p>\n

Conclusions<\/strong>. BI in its modern sense is focused on meeting the information needs of management within the formed or projected business model. Not the business itself, but the specific form of its implementation (commercial firm, market contracting systems, consolidated group of enterprises, network structure, franchising, outsourcing, etc.).<\/p>\n

Results<\/strong>. The main task of business analysis, as a type of professional activity, is to identify the problems of business and identify the need for changes in such forms and their content, to determine the goals and directions of such changes. In this case, the information systems themselves, built on the results of the business analysis, become important tools for the implementation of analytical functions of modern management. If the results of the analysis reveal the need for changes in business processes or the entire business model, then the information system of the company needs re-engineering.<\/p>\n

Keywords<\/strong>: business analysis; information; decision making process; information technology; Business Intelligence.<\/p>\n

References:<\/strong><\/p>\n

    \n
  1. A Guide to the Business Analysis Body of Knowledge (2015). IIBA, International Institute of Business Analysis. 514 \u0440.<\/li>\n
  2. Beneish, Messod, D., Charles, M. & Robin, L. (2011). Tarpley Contextual Fundamental Analysis in the Prediction of Extreme Returns. The Review of Accounting Studies<\/em>, 2\/3, 165-191<\/li>\n
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  4. Tytenko, L.V., Bohdan, S.V., Mizirenko, O.S. (2018). Management internal control in the system of providing economic security of the enterprise. Ekonomika ta suspiljstvo<\/em>, 19, 1358-1363. doi: https:\/\/doi.org\/10.32782\/2524-0072\/2018-19-202 [in Ukrainian]<\/li>\n
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  6. Inmon, D.W.H. (2002). Building the Data Warehouse. John Wiley & Sons Inc., New York. 576 p.<\/li>\n
  7. Kemper, H.-G., Mehanna, W., Unger, C. (2006). Business Intelligence \u2013 Grundlagen und praktische Anwendungen. Friedr. Vieweg & Sohn Verlag, GWV Fachverlage GmbH, Wieabaden. 223 p.<\/li>\n
  8. Kimball, R., Reeves, L., Ross, M., Thornthwaite, W. (2008). The Data Warehouse Lifecycle Toolkit. John Wiley & Sons Inc., New York. 800 p.<\/li>\n
  9. Kraievskyi, V. M., Skoryk, M. O., Bohdan, S. V. & Hmyrya, V. \u0420. (2020). Coherence of accounting systems: transcendence of content and immunity of purpose. Bulletin of the National academy of sciences of the Republic of Kazakhstan<\/em>, 2, 384, 176-184. doi: https:\/\/doi.org\/10.32014\/10.32014\/2020.2518-1467.57 [in English].<\/li>\n
  10. Laursen, G. & Thorlund, J. (2010). Business Analytics for Managers. Taking Business Intelligence Beyond Reporting. New Jersy: John Wiley and Sons. 273 p.<\/li>\n
  11. Podeswa, H. (2009). The business Analyst\u2019s Handbook. Course Technology, a part of Cengage Learning. Canada. 434 p.<\/li>\n
  12. Pohl, K. (2011). Requirements engineering fundamentals a study guide for the Certified Professional for Requirements Engineering exam: foundation level. Santa Barbara: Rocky Nook Inc. 233 p.<\/li>\n
  13. Tytenko, L. V. (2010). The influence of organizational and technological features of pharmaceutical production on the methodology and organization of inventory accounting. Visnyk ZhDTU (Seriia: Ekonomichni Nauky)<\/em>, 1 (51), 234-236 [in Ukrainian]<\/li>\n<\/ol>\n

    [\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]Received:<\/strong> 20 March 2020<\/p>\n

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    Tytenko, L., Bohdan, S., Kliuchko, O. & Tymoshenko, V. (2020). Software and information support for business analysis in enterprise management. Modern Economics<\/em>, 20(2020), 272-277. DOI: https:\/\/doi.org\/10.31521\/modecon.V20(2020)-42.<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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    [vc_row][vc_column][vc_column_text] JEL Classification: L86, M40 DOI: https:\/\/doi.org\/10.31521\/modecon.V20(2020)-42 [\/vc_column_text][vc_column_text] Tytenko\u00a0Larysa, PhD in Economics, Associate Professor, Associate Professor of the Department of Management Accounting, Business Analytics and Statistics, University of the State Fiscal Service of Ukraine, Irpin, Ukraine ORCID ID: 0000-0002-8600-1973 e-mail: tytenkolv@gmail.com Bohdan\u00a0Sviatoslav, Assistant of the Department of Management Accounting, Business Analytics and Statistics, University of
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