Written by Tamr
Procurement spend optimization is on top of every Procurement officer’s mind. Yet, as companies continue to make large investments in supply chain information systems, they are not able to leverage all of their valuable – but often siloed – data. Join Lora Cecere of Supply Chain Insights, and Clare Bernard of Tamr, to learn about a new machine learning based approach to data unification, and how it is helping some of the world’s largest organizations optimize their procurement spend, reduce supplier risk and improve cash flows.
Lora has over forty years of diverse supply chain experience. She spent nine years as an industry analyst with Gartner Group, AMR Research, and Altimeter Group prior to the launch of her own research firm Supply Chain Insights in February 2012. Supply Chain Insights is focused on bringing unique insights to supply chain visionaries through open content, innovative research, monthly webinars, public training and an annual event, Imagine the Supply Chain of the Future.
Dr. Clare Bernard
Dr. Clare Bernard is a field engineer at Tamr whose primarily focused on helping customers use big data to optimize sourcing and procurement. Prior to Tamr, Clare received a PhD in Physics from Boston University for her work studying the top quark at the CERN Large Hadron Collider. While at CERN, Clare gained an appreciation for the difficulties in analyzing and curating large and messy real-world datasets and now applies the skills she developed there to her work at Tamr.