IJIMT 2017 Vol.8(3): 224-227 ISSN: 2010-0248
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).

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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.

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