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Description:

Once offloaded from the drudgery of data preparation, data scientists have a career-making opportunity to use more diverse data sets to deliver bigger business returns. Case in point: spend analytics. In Procurement, many enterprises struggle to answer basic questions such as "How many suppliers do I have?" let alone big questions such as "What's the impact on our spend if the price of steel rises 10%?", "Which suppliers have the lowest total cost of ownership?", and "Which business units should collaborate to bundle their spend?" In this hands-on session, you'll learn about:

• How Big Data has changed the definition of spend analytics
• Three advanced analytics being performed by best-in-class procurement organizations
• Ways to accelerate procurement's analytics journey
• How companies using Tamr are gaining new levels of insight into spend over previous analytic tools, in one case identifying new savings opportunities worth $100M+

About Eliot Knudsen, Field Architect, Tamr

Eliot Knudsen is a Field Architect at Tamr where he works on technical implementation and deployment. He's worked with Fortune 100 clients to dramatically reduce spend by unifying sourcing data and implementing procurement analytics. Prior to Tamr Eliot was a Data Scientist in Healthcare IT, applying machine learning to patient-provider matching algorithms. Eliot is a graduate of Carnegie Mellon University where he studied computational mathematics, statistics and machine learning.

About Matt Holzapfel, Product Marketing, Tamr

Matt Holzapfel is a Product Marketer at Tamr where he focuses on procurement solutions. Prior to consulting with Tamr, Matt held positions in Strategy at Sears Holdings and Strategic Sourcing at Dell, where he led the implementation of new sourcing techniques to significantly lower procurement costs. Matt has a BS in Mechanical Engineering from the University of Illinois at Urbana-Champaign and is a recent graduate of Harvard Business School.