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Integrating Analytics Through the Big Data Information Chain: A Case From Supply Chain Management
Author(s) -
Hamister James W.,
Magazine Michael J.,
Polak George G.
Publication year - 2018
Publication title -
journal of business logistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.611
H-Index - 79
eISSN - 2158-1592
pISSN - 0735-3766
DOI - 10.1111/jbl.12192
Subject(s) - blueprint , supply chain , leverage (statistics) , analytics , supply chain management , business intelligence , general partnership , big data , computer science , raw data , data science , process management , business , knowledge management , marketing , data mining , engineering , mechanical engineering , finance , machine learning , programming language
The benefits of good decision making by a distributor often have broad leverage across a supply chain, and data science provides a comprehensive framework for making this possible. We present a case study of an ongoing partnership between the authors and corporate managers at a distributor of heating, ventilating, and air‐conditioning products. We describe in detail the “vertical integration” of our analytical tools through a long chain of data scientific activities, backward to raw data, and forward to visually appealing output, in an organization with legacy information technology infrastructure. The models are applied to a large‐scale data set, and spreadsheet‐based decision support tools that include useful visualization capabilities for the firm are illustrated. We also offer this case as a blueprint for building a collaborative research relationship between academia and industry.