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
- Math & Computer Science Department, George Herbert Walker School of Business & Technology, Webster University, St. Louis, MO 63119, USA.
Abstract
Data is everywhere. Data is valuable business asset.It is the basis for predictive analytics. With the immense dataopportunities, data-driven analytic thinking promotes viewingbusiness problems from a data perspective and understandprinciples of extracting useful knowledge from data. This paperexamines the realms of data analytics thinking and how it canbe utilized in answering business questions. A case study ofproduct sales prediction is presented to demonstrate differentaspects of the process.
Keywords
- Data analytic thinking
- data mining
- businessquestions
How to 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. https://doi.org/10.18178/ijimt.2017.8.3.733
Copyright & License
Copyright © 2017 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).