Advancing Procurement Analytics

Capturing the Long Tail with Simplified Data Preparation

Advancing Procurement Analytics

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One area where data analytics can have profound effect is your company’s procurement process. Some organizations spend more than two thirds of their revenue buying goods and services, making procurement—out of all business activities—a key element in achieving cost reduction.

This report examines how your company can significantly improve procurement analytics to solve business questions quickly and effectively. Author Federico Castanedo, Chief Data Scientist at, explains how a probabilistic, bottom-up approach can significantly increase the quality, speed, and scalability of your data preparation operations—whether you’re integrating datasets or cleaning and classifying them.

You’ll learn how new solutions leverage automation and machine learning, including the Tamr platform, and help you take advantage of several data-driven actions for procurement—including compliance, price arbitrage, and spend recovery.

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Federico Castanedo

Federico Castanedo is the Chief Data Scientist at where he analyzes massive amounts of data using machine learning techniques. For more than a decade, he has been involved in projects related to data analysis in academia and industry. He has published several scientific papers about data fusion techniques, visual sensor networks and machine learning. He holds a Ph.D. on Artificial Intelligence from the University Carlos III of Madrid and has also been a visiting researcher at Stanford University.