The aim of the present paper is, without any pretension of to be exhaustive, to propose a business analytics contribution in the elaboration of a reliable and accurate assessment of firm's costs function for decision purposes. As a matter of fact, the analyst/consultant, the entrepreneur itself or also the manager has not always the possibility to access to the wide range of all the needed useful information to deal with this task. Income statements or general accounting documents could not record - for an appropriate and sound assessment - all relevant figures. In these (not-extraordinary) cases, supplementary and accurate data gathering is both extremely hard to carry on and not synchronised with entrepreneurial needs. Hence, an analysis developing informed business decisions seems not possible except of roughly approximations. Considering these binding constraints, business analytics tools - by recurring to their interdisciplinary versatility - can surely support managerial decision-making widening and strengthening possibilities to enhance the value of retrievable insights from traditional firm's accounting data. Under this perspective, management accounting combines its traditional informational power with sound scientific support for a renewed, more efficient and multidisciplinary approach to business.
Antonio, F. (2018). Costs function assessment: an empirical business analytics approach for decisional purposes. INTERNATIONAL JOURNAL OF BUSINESS AND SYSTEMS RESEARCH, 12(1), 1-12 [10.1504/IJBSR.2018.088452].
Costs function assessment: an empirical business analytics approach for decisional purposes
Antonio Focacci
2018
Abstract
The aim of the present paper is, without any pretension of to be exhaustive, to propose a business analytics contribution in the elaboration of a reliable and accurate assessment of firm's costs function for decision purposes. As a matter of fact, the analyst/consultant, the entrepreneur itself or also the manager has not always the possibility to access to the wide range of all the needed useful information to deal with this task. Income statements or general accounting documents could not record - for an appropriate and sound assessment - all relevant figures. In these (not-extraordinary) cases, supplementary and accurate data gathering is both extremely hard to carry on and not synchronised with entrepreneurial needs. Hence, an analysis developing informed business decisions seems not possible except of roughly approximations. Considering these binding constraints, business analytics tools - by recurring to their interdisciplinary versatility - can surely support managerial decision-making widening and strengthening possibilities to enhance the value of retrievable insights from traditional firm's accounting data. Under this perspective, management accounting combines its traditional informational power with sound scientific support for a renewed, more efficient and multidisciplinary approach to business.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.