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- ISSN: 2010-0248 (Print)
- Abbreviated Title: Int. J. Innov. Manag. Technol.
- Frequency: Quarterly
- DOI: 10.18178/IJIMT
- Editor-in-Chief: Prof. Jin Wang
- Managing Editor: Ms. Nancy Y. Liu
- Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory, Crossref, Electronic Journals Library.
E-mail: ijimt@ejournal.net
- Article Processing Charge: 500 USD
IJIMT 2017 Vol.8(3): 224-227 ISSN: 2010-0248
doi: 10.18178/ijimt.2017.8.3.733
doi: 10.18178/ijimt.2017.8.3.733
Answering Business Questions with Data-Driven Analytic Thinking — A Case Study of Product Sales Prediction
Jiangping Wang
Abstract—
Data is everywhere. Data is valuable business asset.
It is the basis for predictive analytics. With the immense data
opportunities, data-driven analytic thinking promotes viewing
business problems from a data perspective and understand
principles of extracting useful knowledge from data. This paper
examines the realms of data analytics thinking and how it can
be utilized in answering business questions. A case study of
product sales prediction is presented to demonstrate different
aspects of the process.
Index Terms— Data analytic thinking, data mining, business questions.
Jiangping Wang is with the Math & Computer Science Department, George Herbert Walker School of Business & Technology, Webster University, St. Louis, MO 63119, USA (e-mail: wang@webster.edu).
Index Terms— Data analytic thinking, data mining, business questions.
Jiangping Wang is with the Math & Computer Science Department, George Herbert Walker School of Business & Technology, Webster University, St. Louis, MO 63119, USA (e-mail: wang@webster.edu).
Cite: Jiangping Wang, " Answering Business Questions with Data-Driven Analytic Thinking — A Case Study of Product Sales Prediction," International Journal of Innovation, Management and Technology vol. 8, no. 3, pp. 224-227, 2017.