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International Accounting
 

Data modeling in management accounting and budgeting systems

Vol. 20, Iss. 20, OCTOBER 2017

PDF  Article PDF Version

Received: 9 August 2017

Received in revised form: 6 September 2017

Accepted: 5 October 2017

Available online: 27 October 2017

Subject Heading: Managerial accounting

JEL Classification: C50, М40

Pages: 1183–1201

https://doi.org/10.24891/ia.20.20.1183

Trachenko M.B. State University of Management, Moscow, Russian Federation
mb_trachenko@guu.ru

Importance Budgeting as a management technology is highly sought after by enterprises and groups of companies all over the globe regardless of their industry affiliation and scale of operations. The budgeting methodology is a dynamically developing field of scientific research; it provides tools enabling to solve urgent problems, namely those related to data bulk processing at the stage of planning and generation of budget versions.
Objectives The study aims to justify principles of data modeling in management accounting and budgeting; to develop data modeling tools aimed at achieving the objectives of an enterprise or a group of companies.
Methods In the study, I employ logical analysis methods and a systems approach.
Results The paper substantiates data modeling principles in management accounting and budgeting systems of enterprises and groups of companies. Based on the formulated principles, I developed data modeling tools for implementation in spreadsheets, special applications, and cloud-based technologies.
Conclusions Developing and elaborating the budgeting system of enterprises and groups of companies should be based on data modeling under the principles and approaches to their systematization and structuring formulated in the paper. The offered data modeling tools may be useful in the organization of management accounting and formation of a budget model on all automation platforms, as well as in Microsoft Excel, using Power Pivot and Power Query add-ins.

Keywords: management accounting, budgeting, data modeling principles, automation

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