Big Data Analytics in Supply Chain
Taming the big data “monster”—a new path to growth
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 Professionals (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.
If you have trouble with the link above, please copy and paste the following URL into your web browser: 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.
About Competitive Insights, LLC
Competitive Insights, headquartered in Atlanta, was founded in 1998. The firm provides both supply chain Software-as-a-Service (SaaS) and professional analytical services to enterprise customers including some of the nation’s most recognizable brands. CI’s proprietary mix of software and services collects and processes customers’ transactional data from multiple sources to support cross-functional, fact-based decisions that support the reduction of operating costs, maximizing profits, and mitigating operating risks.
For more information, contact:
+1 770.922.4400, Ext. 306