We present a data cleaning project that utilizes real vendor master data of a large public university in the United States. Our main objective when developing this case was to identify the areas where students need guidance in order to apply a problem solving approach to the project. This includes initial analysis of the data and the task at hand, planning for cleaning and testing activities, executing this plan, and communicating the results in a written report. We provide a data set with 29K records of vendor master data, and a subset of the same data with 800 records. The assignment has two parts - the planning and the actual cleaning, each with its own deliverable. It can be used in many different courses and completed with almost any data analytics software. We provide suggested solutions and detailed solution notes for Excel and for Alteryx Designer.
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Research Article|
February 03 2021
Vendor Master Data Cleaning – a Project for Accounting Class
Sonia Gantman
;
Sonia Gantman
Bentley University
Senior Lecture
Accountancy
175 Forest Street
UNITED STATES
Waltham
MA
02452
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Lorrie Metzger
Lorrie Metzger
University at Buffalo
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Journal of Emerging Technologies in Accounting (2021)
Article history
Received:
May 01 2020
Revision Received:
November 16 2020
Revision Received:
January 15 2021
Accepted:
January 25 2021
Citation
Sonia Gantman, Lorrie Metzger; Vendor Master Data Cleaning – a Project for Accounting Class. Journal of Emerging Technologies in Accounting 2021; doi: https://doi.org/10.2308/JETA-2020-028
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