Predictive analytics in accounting information systems
Publication Date
1-1-2022
Document Type
Contribution to a Book
Publication Title
The Routledge Handbook Of Accounting Information Systems, Second Edition
DOI
10.4324/9781003132943-15
First Page
171
Last Page
189
Abstract
This chapter explores the transformative impact of predictive analytics – a technique that uses data to create mathematical models for making predictions – on the accounting profession. We clarify what predictive analytics is and how it differs from other techniques accountants use to support decision making. We explain how predictive analytics can be valuable to people within the organisation and outside of it. Considering the relevance of external auditing within the accounting profession, we discuss the increasing prevalence of predictive analytics for assurance purposes – its adoption, platforms developed, uses to which it is put, and personnel training. We discuss the Helix suite of analytics tools developed by EY as an example of how predictive analytics tools are being integrated into the assurance workflow. Finally, we address research possibilities raised by predictive analytics in the accounting domain, including the relationship between investments in analytics tools and their adoption, and the gaps that seem to exist between predictive analytics capabilities and their actual usage in critical work.
Department
Accounting and Finance; Information Systems and Technology
Recommended Citation
Esperanza Huerta and Scott Jensen. "Predictive analytics in accounting information systems" The Routledge Handbook Of Accounting Information Systems, Second Edition (2022): 171-189. https://doi.org/10.4324/9781003132943-15
