Posted: February 18th, 2022

Impact of big data analysis on accounting profession field






Comparative Critical Essay

Big Data Analytics and Impact on Firm Performance 




Course Name and Number


DBig data analytics

The key message of the paper

            This discussion reviews, analyses, and compares the arguments presented by Ferraries et al. (2019) regarding how accountants’ big data analysis capabilities and knowledge management impact organisational performance. The paper’s main focus is to discuss the issues related to big data management. They include big data knowledge, efficiency in decision-making, and performance improvement. The paper establishes that firms that develop big data analytics (BDA) capabilities record improved performance. The study was based on 88 Italian SMEs. The research argues that organisations can use the data to make the right investment decisions with the BDA processes. The accountants, in particular, are the ones who should share detailed information about the company operations. Collecting, analysing and presenting detailed information helps the management to project the future of the company in terms of performance. However, what is important is how capable the accountants are in analysing the big data they receive to make meaning out of it. The findings of the paper emphasise the need for organisations to embark on ways of advancing accountants’ big data analysis capabilities to enhance the decision-making process. 

Other findings and explanation 

            The paper’s views are supported by the findings by Shabbir and Gardezi (2020). The duo argues that knowledge management among accountants serves as a mediating role between data analysis and organisational performance. Drawing from the resource-based theory, the two establish that management needs detailed accounting information to make certain decisions. However, the concern is about the capabilities of the accountants to handle and process big data. In their proposition, they view the aspect of technology and accounting ethics as two important factors that enhance the role played by accountants in processing and managing big data. The study relied on the data collected from different SMEs operating in Pakistan. 

            Another important study into the subject of the discussion was done by El-Dalahmeh (2021). The study aimed at establishing the impact of big data on accountants in the workplace environment. The study notes that big data analysis capabilities have a significant impact on the role played by accountants and the overall performance of businesses. The study was carried among 147 professional accountants working for different companies in the Kingdom of Jordan. Like the other pieces of evidence, the research reaffirms the importance of having some technical accounting competencies to handle and process large data. It serves a firm well in making certain decisions as they base their proposals on detailed information. 

Discussion of the findings

            The research findings from the three studies present almost similar arguments. They focus on issues related to big data, the management knowledge of the accountants and organisational performance. The three issues are intertwined. When an organisation can handle and process large amounts of accounting information, it stands a better chance of making correct financial decisions (Ferraries et al., 2019). For example, suppose the accountants share detailed information about a project that was meant to generate more revenue for the organisation. In that case, the management will understand the cost areas and why it could be underperforming. 

            According to Ferraris et al. (2019), companies that manage big data have a lot to gain. The accountants can collect the data from different sources and make projections about how an organisation will perform in future. However, that depends on the capability of the staff, and more especially the accountants, to collect and process the data that is relevant in decision-making. On one end, Shabbir and Gardezi (2020) confirm that big data analysis has both strategic and practical implications. The management can become knowledgeable of industry performance and the strategies to use in the future to enhance performance. Finally, the accounting roles are enhanced if they have the ability to process big data. That includes the use of technology and relevant software to structure data in a way that the management can understand and use it. 

Conclusion and recommendations

            The issue of big data analysis continues to gain way among different industries and businesses. That is because firms are finding it necessary to equip them with enough data to base their strategic and financial decisions. Consequently, the ability to process and analysis big data by accountants is closely related to organisational performance. However, the question that arises from the research is about how firms can improve the capabilities of their accountants to expand their big data handling skills. That forms the basis for various recommendations to various firms. Firstly, it is critical that firms consider the professional competencies of their accountants during recruitment. Secondly, it is essential to train the current accountants to acquire some big data analysis capabilities. Finally, organisations have to invest in technology to gain a competitive edge in decision-making and strategic planning. That should entail investing in appropriate software that supports data processing. 


El-Dalahmeh, SM 2021, Impact of big data analysis on accounting profession field – study in Jordanian business environment.’ International Journal of Accounting and Financial Reporting, vol. 11, no. 1, pp. 1-23. 

Ferraris, A., Mazzoleni, A., Devalle, A & Couturier, J 2019, Big data analytics capabilities and knowledge management: impact on firm performance.’ Management Decision, vol. 57, no. 8, pp. 1923-1935. 

Shabbir, MQ & Gardezi, SBW 2020, ‘Application of big data analytics and organisational performance: the mediating role of knowledge management practices.’ Journal of Big Data, vol. 2, no. 47, pp. 1-17. 









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