Accuracy Assessment for Franchising Financial Forecasting Methods

Abstract

the challenge of financial data forecasting is a ubiquitous concern across numerous corporations. In today’s business landscape, the strategic planning of financials for future periods is an indispensable aspect of corporate management. To facilitate this, a plethora of software products are employed for the meticulous management and processing of specific datasets. Particularly in the context of franchising, the construction and projection of financial models emerge as paramount tasks within the framework of franchise operations. Distinct business domains necessitate varied forecasting resources, thereby escalating the demands on software products and engendering a trend towards increasingly complex and refined processes. This study aims to evaluate the efficacy of various data forecasting methodologies through their application to and interpretation of financial data derived from a Dodo Pizza franchise outlet