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Where do you stand with Big Data Analytics? Take our brief survey!
Our study will help companies map the Big Data landscape. Click here to participate.
Technology is enabling supply chain organizations to gather enormous amounts of information from an expanding variety of sources. But few companies are actually deriving sustainable value from the supply chain data they are accumulating. Instead, they are struggling with issues such as how to ensure data quality, how to analyze data, and how to make practical use of what they learn from it.
CSCMP's Supply Chain Quarterly, Arizona State University, Colorado State University, Competitive Insights LLC, and lharrington group LLC are conducting an annual survey on the current state of supply chain Big Data Analytics. The survey will also allow us to track, in the aggregate, companies' progress in using Big Data Analytics in supply chain management.
The survey is anonymous. The findings will be presented at the Council of Supply Chain Management (CSCMP) 2017 annual conference in September. Respondents who choose to provide contact information (which will remain confidential) will receive an early readout of the results prior to the conference. And, if you're among the first 100 respondents, you'll be entered in a drawing for one of two $100 iTunes gift cards!
If you have trouble with the link above, please copy and paste the following URL into your web browser: http://colostate.az1.qualtrics.com/jfe/form/SV_bO98R0OrXZTnxYN
Our ability to provide supply chain professionals with meaningful data on this increasingly important topic depends on your participation! We thank you for your contribution, and we look forward to sharing the results with you later this year.
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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 : Where do you stand with Big Data Analytics? Take our brief survey!"> . We will publish selected readers' comments in future issues of CSCMP's Supply Chain Quarterly. Correspondence may be edited for clarity or for length.