CSCMP's Supply Chain Quarterly
December 14, 2017
Supply Chain Executive Insight E-Newsletter
Each week the Supply Chain Executive Insight e-newsletter will include brief articles about developments that are often overlooked by other supply chain publications. We will present you with summaries of the latest research as well as new ideas on how to make your supply chain operations more effective. And we'll offer commentary that sheds light on what's happening in supply chains today.
Sign up now!

Most Read Articles

News from our sister publication
DC Velocity
Perspective
Perspective

Overcoming challenges to "big data" analysis

Comment
Big data analysis could transform supply chains, buts its success depends on supply chain partners' cooperation.

Coordinating the flow of a supply chain requires large volumes of data from multiple software systems and devices. That's why "big data" analysis has become so attractive as a way to improve supply chain operations. Advances in computer power and software make it feasible to sift through information stored in traditional, structured databases as well as unstructured ones to make an "aha" connection that can lead to a more efficient or synchronized supply chain operation.

But getting the right data and quality for this kind of analysis isn't easy. For starters, a supply chain manager has to determine what information will be required for a valid analysis. "The company has to understand what kind of data they have to process to get the right insight," says Frode Huse Gjendem, a consultant at Accenture who does work on supply chain analytics. "You have to understand what kind of data you need. There has to be a data assessment before you can implement big data analytics."

Along with the right data, a big data analysis for a supply chain requires partners to be willing to share information, and many companies are reluctant to do so. In fact, the 2014 18th Annual Third-Party Logistics Study headed up by Dr. John Langley of Penn State highlighted this obstacle. Some 22 percent of shippers and 32 percent of third-party logistics companies (3PLs) surveyed for that research said their companies considered data to be proprietary and would not be willing to share that information with others. That's troubling, since using big data analysis to solve supply chain issues will likely require access to more than one company's data.

In order to persuade supply chain partners to share data, Gjendem says, a company should offer incentives. For example, he knows of a large original equipment manufacturer (OEM) that's supporting information sharing by providing its suppliers with the architecture for data gathering. The incentive for the suppliers is that they will be able to use the software tools provided by the OEM for analysis of their own operations.

If supply chain partners are still hesitant to exchange information, Gjendem said, another possible approach would be to use a neutral third party as a trustee to ensure data confidentiality. The trustee would then handle the big data analysis.

Big data analysis has huge potential to transform supply chains. For that to happen, though, supply chain chiefs will have to reach out to their supply chain partners to gain their cooperation in sharing the right data.

James A. Cooke is a supply chain software analyst. He was previously the editor of CSCMP's Supply Chain Quarterly and a staff writer for DC Velocity.

Join the Discussion

After you comment, click Post. If you're not already logged in, you will be asked to log in or register.


Want more articles like this? Sign up for a free subscription to Supply Chain Executive Insight, a monthly e-newsletter that provides insights and commentary on supply chain trends and developments. Click here to subscribe.

We Want to Hear From You! We invite you to share your thoughts and opinions about this article by sending an e-mail to ?Subject=Letter to the Editor: Quarter : Overcoming challenges to "big data" analysis"> . We will publish selected readers' comments in future issues of CSCMP's Supply Chain Quarterly. Correspondence may be edited for clarity or for length.

Want more articles like this? Subscribe to CSCMP's Supply Chain Quarterly.