Ivey Publishing
Dow Chemical Co.: Big Data in Manufacturing
Product Number:
9B17E014
Publication Date:
11/17/2017
Revised Date:
11/17/2017
Length:
12 pages (10 pages of text)
Product Type:
Case (Field)
Source:
Ivey
In 2012, a pilot study undertaken by the data services team of the Dow Chemical Company in the polymer division of the multinational company’s Midland, Michigan, plant had revealed an uncanny trend on the company’s shop floor. Plant engineers were working for the data; the data was not working for them. The data services director saw an opportunity to reverse the trend through the deployment of big data capabilities and, more specifically, enterprise manufacturing intelligence (EMI), a subset of big data. How should he gain user acceptance of the proposed EMI?
Learning Objective:
The case can be used in undergraduate, graduate, and executive education programs focused on information systems. The case gives students the opportunity to do the following:
  • Describe the main characteristics of big data.
  • Explain how big data analytics can add value to a firm’s manufacturing operations.
  • Discuss the challenges faced by an in-house data analytics division in fulfilling its strategic mission.
    Issues:
    Disciplines:
    Information Systems,  International
    Industries:
    Manufacturing
    Setting:
    United States, Large, 2012
    Intended Audience:
    Undergraduate/MBA
    Price:
    $4.25 CAD / $4.25 USD Printed Copy
    $3.75 CAD / $3.75 USD Permissions
    $3.75 CAD / $3.75 USD Digital Download
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