Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Big Data-driven Budgeting and Business Planning

Version 1 : Received: 29 September 2020 / Approved: 30 September 2020 / Online: 30 September 2020 (13:07:58 CEST)

How to cite: Faccia, A. Big Data-driven Budgeting and Business Planning. Preprints 2020, 2020090747. Faccia, A. Big Data-driven Budgeting and Business Planning. Preprints 2020, 2020090747.


The business planning process can be considered as a strategic phase of any business. Given that the business plan is a management accounting tool, there are countless approaches that can be adopted to prepare it since there is no legal requirement, as opposed to obligations relating to financial accounting. However, in general, every business plan consists of a numerical part (budget) and a narrative part. In this research, the author highlights, on the basis of experiences and commonly used theories, a standard process that can be adaptable to the business plan of any type of activity. The use of big data is highlighted as an essential part of feeding the data of almost all the steps of the budget. The author then manages to determine a generally applicable standard process, indicating all the data necessary to prepare an accurate and reliable business plan. A case study will provide adequate support to the demonstration of the immediate applicability of the proposed model.


Big Data; Business Plan; Budgeting; Budget; Business Strategy.


Business, Economics and Management, Accounting and Taxation

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