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    Big Data in Accounting: An Overview.
    research summary posted September 21, 2015 by Jennifer M Mueller-Phillips, tagged 01.0 Standard Setting, 01.01 Changes in Reporting Formats, 01.02 Changes in Audit Standards, 08.0 Auditing Procedures – Nature, Timing and Extent, 08.09 Impact of Technology on Audit Procedures, 09.0 Auditor Judgment 
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    Title:
    Big Data in Accounting: An Overview.
    Practical Implications:

    The availability of Big Data will precipitate substantive changes in accounting education, research, and practice. In education, in particular accounting and auditing, the use of Big Data will increase the statistical and IT content in curricula, probably breaking the current set of limitations represented in the CPA exam. Research in the more traditional fields in accounting, such as capital markets research, will benefit from dimensional increases in data availability and will be conditional on improvements of the researcher’s skill sets in areas such as modeling, statistics, and text mining. Practice, in particular internal audit departments, will be the leading facilitator of accounting Big Data usage, while attempting to keep abreast or in sync with the developments in corporate data utilization in fields like marketing, supply chain, and customer services.

    Citation:

    Vasarhelyi, M. A., A. Kogan, and B. M. Tuttle. 2015. Big Data in Accounting: An Overview. Accounting Horizons 29 (2): 381-396.

    Keywords:
    analytics, audit judgment, enterprise data ecosystem, reporting, standards, storage
    Purpose of the Study:

    The term Big Data is fairly new but seems to be applied in almost every area of human activity at the moment. It is not defined in the rigorous meaning of the word, and it is usually used under the assumption that the readers understand it at the intuitive level. The reason for this popularity is the exponentially growing amount of information made available by developments in computing and telecommunications technology, particularly the Internet and environmental sensing. This paper sheds light on the meaning of Big Data in the accounting and auditing domains.

    Design/Method/ Approach:

    This article is a commentary.

    Findings:
    • The definition of Big Data is conditional on the environment being used.
    • Processing needs are nonlinear with the size of data. Even small datasets may be computationally difficult if models are complex.
    • There is a progressive extension of the feasible dataset. Inclusion of sources is mainly an economic and legal issue and not one of feasibility.
    • Newly included data structures contain a wide set of not previously determined/used parameters, which by themselves may be informational.
    • Extended, nontraditional data sources may substantively change the domains of accounting and auditing.
    • Linkages of traditional extended data, as found in ERPs, to new sources of data may provide very strong confirmatory evidence for economic activity.
    • Accounting, auditing, and management extensions into Big Data usage overlap and present powerful opportunities in the next decade but also the re-conceptualization of functions in an age of computer intelligence and automation.
    Category:
    Auditing Procedures - Nature - Timing and Extent, Auditor Judgment, Standard Setting
    Sub-category:
    Changes in Audit Standards, Changes in Reporting Formats, Changes in Reporting Formats, Impact of Technology on Audit Procedures Confirmation – Process and Evaluation of Responses