How Data Science and Spend Analytics Found $100 Million+ in Savings
Date: This event took place live on April 05 2016
Duration: Approximately 60 minutes.
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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:
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.