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Frontiers of Engineering Management

Front. Eng    2017, Vol. 4 Issue (1) : 41-48
Intelligent data analytics is here to change engineering management
Jonathan Jingsheng SHI1(), Saixing ZENG2, Xiaohua MENG3
1. College of Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
2. Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200030, China
3. Department of Management Science and Engineering, Soochow University, Suzhou 215006, China
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A great deal of scientific research in the world aims at discovering the facts about the world so that we understand it better and find solutions to problems. Data enabling technology plays an important role in modern scientific discovery and technologic advancement. The importance of good information was long recognized by prominent leaders such as Sun Tzu and Napoleon. Factual data enables managers to measure, to understand their businesses, and to directly translate that knowledge into improved decision making and performance. This position paper argues that data analytics is ready to change engineering management in the following areas: 1) by making relevant historical data available to the manager at the time when it’s needed; 2) by filtering out actionable intelligence from the ocean of data; and 3) by integrating useful data from multiple sources to support quantitative decision-making. Considering the unique need for engineering management, the paper proposes researchable topics in the two broad areas of data acquisition and data analytics. The purpose of the paper is to provoke discussion from peers and to encourage research activity.

Keywords engineering management      project management      big data      data analytics      planning      execution     
Corresponding Authors: Jonathan Jingsheng SHI   
Online First Date: 21 March 2017    Issue Date: 19 April 2017
 Cite this article:   
Jonathan Jingsheng SHI,Saixing ZENG,Xiaohua MENG. Intelligent data analytics is here to change engineering management[J]. Front. Eng, 2017, 4(1): 41-48.
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Fig.1  Ideal project coordination
Fig.2  Unpleasant teamwork scenario
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