Foundations in data and analytics for the accounting profession

Learning objectives

After completing this course, the learner should be able to:

  • Define data and analytics in the accounting profession and identify how the accounting profession skill set is evolving.
  • Define data sources, metrics and measurements scales and identify methods for data preparation and transformation
  • Describe the data analysis strategy and the steps needed in each phase
  • Explain how decision-making can be enhanced using data analytics in auditing, financial/managerial, and tax areas of accounting.
  • Identify risk considerations in data analytics and describe methods to address those risks.
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Ann Dzuranin

Instructor bio

Dr. Ann C. Dzuranin is the Dean’s Distinguished Professor of Analytics in Accounting at Northern Illinois University. She earned her B.S. from Fairleigh Dickinson University, her MBA from New York University and her Ph.D.from the University of South Florida. Ann is a CPA (NJ) with 15 years of experience in both public and corporate accounting.
 
Ann conducts behavioral research in management accounting decision-making and the ways in which accounting information systems interact with those decisions. Her publications include Issues in Accounting Education, Journal of Information Systems, Journal of Business Ethics, Management Accounting Quarterly, Journal of Corporate Accounting and Finance and the Journal of Accounting Education.
 
Ann also received the 2018 American Accounting Association’s Innovation in Accounting Education Award for her work in data analytics curriculum development. Ann’s work in data analytics has resulted in invitations to present on Data Analytics and Accounting curriculum at both academic and professional conferences. Her presentations have reached over 1,800 people and her materials have been shared with more than 50 universities.
 

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