How to Implement a Spend Analytics Program Using Machine Learning

About this webinar:

Inaccurate data compromises your ability to negotiate your direct spend with suppliers. Costing your company millions of dollars in savings opportunities and potentially causing damaging delays in your time to market.

Your organization can solve these issues by implementing a spend analytics program supported by human-guided machine learning.

 During this webinar, we cover:

  1. How a global manufacturing company used machine learning to drive better negotiations — saving $10.4M

  2. How to identify millions in savings by implementing better supplier intelligence

  3.  How to help your organization take control of spend and parts data in 2020
Big Data Breakfast (2)

About the Speakers:

Sanjay Rajan - Head of Manufacturing Solutions at Tamr

Sanjay Rajan, helps business leaders drive successful outcomes from data-related Industry 4.0 initiatives. Prior to joining Tamr, Sanjay led Digital Transformation Strategy at Siemens for over a decade and played a key role in delivering Autodesk's Go-to-Market Strategy. Sanjay earned a PhD in Electronics at the University of Arkansas and received an MBA in Operations & Finance at the University of Rochester - Simon Business School.

Matt Holzapfel -  Head of Solutions at Tamr

Matt Holzapfel, delivers solutions that combine Tamr’s software products with data and services to help customers realize more value from their data. Prior to joining Tamr, Matt held positions leading the strategy & development of new analytics capabilities at Dell in strategic sourcing and Sears Holdings. Matt has a BS in Mechanical Engineering from the University of Illinois at Urbana-Champaign and an MBA from Harvard Business School.