Big Data has had a major impact on the daily life of businesses and scientific research in general. This revolution has been driven by the huge growth of data in almost every sector of industry and business sector. The interaction between Big Data and Accounting, therefore, has essentially improved data collection and related analysis. In this field, however, scientific contributions and empirical evidence on how Big Data improve revenue estimation and cost allocation are still under investigated. Therefore, the aim of this research monograph is to explore, by a case study, the relationship between Big Data and Accounting and the effects of this interactions on forecasting and business planning to point out that data-driven approach reduces some limitations compared to “traditional” planning.

Big Data and Accounting in supporting data-driven planning model for make-to-order (MTO) companies

Ianni, Luca
;
Marullo, Gianluca
2023-01-01

Abstract

Big Data has had a major impact on the daily life of businesses and scientific research in general. This revolution has been driven by the huge growth of data in almost every sector of industry and business sector. The interaction between Big Data and Accounting, therefore, has essentially improved data collection and related analysis. In this field, however, scientific contributions and empirical evidence on how Big Data improve revenue estimation and cost allocation are still under investigated. Therefore, the aim of this research monograph is to explore, by a case study, the relationship between Big Data and Accounting and the effects of this interactions on forecasting and business planning to point out that data-driven approach reduces some limitations compared to “traditional” planning.
2023
Quaderni di ricerca economico-aziendale: teoria e casi
9791221808834
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11564/880033
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