Abstract
By bridging the accounting and data science domains, this paper introduces an interdisciplinary Big Data case study for accounting students that implements a specific methodology framework. It is supported by clear learning objectives and detailed instructor’s implementation guidance that complement a fascinating scenario, representing a real-world situation in the data-led world of business. The participants’ assignment is to propose a strategy for improving financial position and performance of a particular company by attracting new customers selected among companies, listed on the London Stock Exchange. The data sources of the proposed case study are publicly available and comprise of historical financial and non-financial data, disclosed in companies’ annual reports. By performing their assigned roles under the case study scenario, future graduates will build upon their technological competences as well as raise their awareness on the new roles and job tasks of the future accountant. They will also gain understanding on the new advisory function of the accounting specialists and their responsibilities as management consultants in the data-let business world. From a research perspective, this interdisciplinary work demonstrates how expertise in text mining and financial reporting might be combined for revealing new investment opportunities and enhancing management decisions.
Highlights
In a data-driven business environment, accounting professionals should be well equipped with the needed skills and competences to benefit from current and emerging technology advances that inevitably change the accounting ecosystem and trigger accounting evolutions into new dimensions
This paper introduces an interdisciplinary Big Data case study for accounting students that applies a specific methodology framework
From an instructor’s perspective, it might be considered as a useful supplement to the accounting and financial reporting study materials and an illustration of how data analytical tools could be applied for supporting management decision-making
Summary
In a data-driven business environment, accounting professionals should be well equipped with the needed skills and competences to benefit from current and emerging technology advances that inevitably change the accounting ecosystem and trigger accounting evolutions into new dimensions. Accounting educators play an important role in this process as they have to prepare future graduates for their new role and functions within organization boundaries They are challenged to develop comprehensive study materials and implement successful approaches for infusing Big Data and data analytics into the accounting coursework. Our goal is to develop a comprehensive teaching material that might be integrated into an accounting module This interdisciplinary case study bridges the accounting and data science domains. As these skills and abilities comprise the skill set of the future accountant, expertise in Big Data and data analytics could help them to better perform their job tasks in a “digital enterprise” (PWC, 2016) and embrace the opportunities of new technologies and their augmented application
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