The Hype of Big Data Analytics and Auditors
In the era of fast-tracking digitization and unconventional big data analytics, business models are being reshaped and they impact auditing amongst auditors. This viewpoint paper takes into account the procedures underlying on big data and its analytics in driving the evolution of business and ident...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
University Library System, University of Pittsburgh
2019-01-01
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| Series: | Emerging Markets Journal |
| Subjects: | |
| Online Access: | http://emaj.pitt.edu/ojs/index.php/emaj/article/view/153 |
| _version_ | 1819151048696135680 |
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| author | Prem Lal Joshi Govindan Marthandan |
| author_facet | Prem Lal Joshi Govindan Marthandan |
| author_sort | Prem Lal Joshi |
| collection | DOAJ |
| description | In the era of fast-tracking digitization and unconventional big data analytics, business models are being reshaped and they impact auditing amongst auditors. This viewpoint paper takes into account the procedures underlying on big data and its analytics in driving the evolution of business and identifies some of the unresolved issues and concerns on auditors, especially in the context of cognitive tasks. The paper continues to focus on the current spate of discussions on big data and auditing profession. It explains the nature of big data and its characteristics as well as the output types. This paper also tries to find answers for what is new in it, how it assists the auditors along with some unresolved issues and concerns. Since big data analytics is the future, auditors need to reshape themselves in terms of skills and competencies to meet the emerging technological challenges. |
| first_indexed | 2024-12-22T14:27:12Z |
| format | Article |
| id | doaj.art-37f9e27764504a7dab4e2b35a208732c |
| institution | Directory Open Access Journal |
| issn | 2158-8708 |
| language | English |
| last_indexed | 2024-12-22T14:27:12Z |
| publishDate | 2019-01-01 |
| publisher | University Library System, University of Pittsburgh |
| record_format | Article |
| series | Emerging Markets Journal |
| spelling | doaj.art-37f9e27764504a7dab4e2b35a208732c2022-12-21T18:22:50ZengUniversity Library System, University of PittsburghEmerging Markets Journal2158-87082019-01-01821410.5195/emaj.2018.153105The Hype of Big Data Analytics and AuditorsPrem Lal Joshi0Govindan Marthandan1Multimedia UniversityMultimedia UniversityIn the era of fast-tracking digitization and unconventional big data analytics, business models are being reshaped and they impact auditing amongst auditors. This viewpoint paper takes into account the procedures underlying on big data and its analytics in driving the evolution of business and identifies some of the unresolved issues and concerns on auditors, especially in the context of cognitive tasks. The paper continues to focus on the current spate of discussions on big data and auditing profession. It explains the nature of big data and its characteristics as well as the output types. This paper also tries to find answers for what is new in it, how it assists the auditors along with some unresolved issues and concerns. Since big data analytics is the future, auditors need to reshape themselves in terms of skills and competencies to meet the emerging technological challenges.http://emaj.pitt.edu/ojs/index.php/emaj/article/view/153Big DataBig Data AnalyticsAuditorsUnresolved Issues |
| spellingShingle | Prem Lal Joshi Govindan Marthandan The Hype of Big Data Analytics and Auditors Emerging Markets Journal Big Data Big Data Analytics Auditors Unresolved Issues |
| title | The Hype of Big Data Analytics and Auditors |
| title_full | The Hype of Big Data Analytics and Auditors |
| title_fullStr | The Hype of Big Data Analytics and Auditors |
| title_full_unstemmed | The Hype of Big Data Analytics and Auditors |
| title_short | The Hype of Big Data Analytics and Auditors |
| title_sort | hype of big data analytics and auditors |
| topic | Big Data Big Data Analytics Auditors Unresolved Issues |
| url | http://emaj.pitt.edu/ojs/index.php/emaj/article/view/153 |
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