Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed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 (doi: 10.20944/preprints202009.0747.v1). Faccia, A. Big Data-driven Budgeting and Business Planning. Preprints 2020, 2020090747 (doi: 10.20944/preprints202009.0747.v1).

Abstract

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.

Subject Areas

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

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our diversity statement.

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.