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Data governance case at KrauseMcMahon LLP in an era of self-service BI and Big Data

Author

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  • Riggins, Frederick J.
  • Klamm, Bonnie K.

Abstract

This case increases your understanding of data governance in an era of sophisticated analytics and Big Data where corporate data integrity and data quality may be at risk. KrauseMcMahon, a large certified public accounting and business consulting firm, faces a tradeoff of increasing control of the company’s data assets versus unleashing end user innovation due to the proliferation of self-service business intelligence tools. You are required to analyze the issues in the case from organizational, financial, and technical perspectives to propose alternatives the organization should consider and make specific recommendations on how the company should proceed. By completing this case, you will demonstrate cross-disciplinary abilities related to foundational business, accounting, and broad management competencies. By addressing such competencies, the case requires your use of accounting, MIS, and upper-level business skills.

Suggested Citation

  • Riggins, Frederick J. & Klamm, Bonnie K., 2017. "Data governance case at KrauseMcMahon LLP in an era of self-service BI and Big Data," Journal of Accounting Education, Elsevier, vol. 38(C), pages 23-36.
    • Handle: RePEc:eee:joaced:v:38:y:2017:i:c:p:23-36
    DOI: 10.1016/j.jaccedu.2016.12.002
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    Citations

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    Cited by:

    1. Weihong Xie & Qian Zhang & Yuyao Lin & Zhong Wang & Zhongshun Li, 2024. "The Effect of Big Data Capability on Organizational Innovation: a Resource Orchestration Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 3767-3791, March.
    2. Marzieh Derakhshannia & Carmen Gervet & Hicham Hajj-Hassan & Anne Laurent & Arnaud Martin, 2020. "Data Lake Governance: Towards a Systemic and Natural Ecosystem Analogy," Future Internet, MDPI, vol. 12(8), pages 1-16, July.
    3. Susanne Leitner-Hanetseder & Christoph Eisl & Carina Knoll & Othmar M. Lehner, 2021. "Need For Advanced It Skills For Accountants €“ What Does Accounting Education Literature Tell Us?," Business Education and Accreditation, The Institute for Business and Finance Research, vol. 13(1), pages 57-69.
    4. Mesa, William B., 2019. "Accounting students’ learning processes in analytics: A sensemaking perspective," Journal of Accounting Education, Elsevier, vol. 48(C), pages 50-68.
    5. Janvrin, Diane J. & Weidenmier Watson, Marcia, 2017. "“Big Data”: A new twist to accounting," Journal of Accounting Education, Elsevier, vol. 38(C), pages 3-8.
    6. Anassaya Chawviang & Supaporn Kiattisin, 2022. "Sustainable Development: Smart Co-Operative Management Framework," Sustainability, MDPI, vol. 14(6), pages 1-25, March.
    7. Ibrahim, Awad Elsayed Awad & Elamer, Ahmed A. & Ezat, Amr Nazieh, 2021. "The convergence of big data and accounting: innovative research opportunities," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    8. S. Vijayakumar Bharathi, 2017. "Prioritizing and Ranking the Big Data Information Security Risk Spectrum," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 183-201, September.

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