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Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY

Avoiding Data Disillusionment: 3 Things to Get Right When Building Data Products

James Psota (Panjiva )
12:00pm–12:30pm Tuesday, 09/11/2018
Data-driven business management
Location: 1A 08 Level: Non-technical
Average rating: ****.
(4.00, 6 ratings)

Businesses are pouring massive amounts of money into data science projects, and expectations are sky-high. But how many of those projects will deliver real value to customers? The history of other hyped new technologies predicts that many will fail, leaving a sense of disillusionment in their wake. Can the data science community do better?

In this talk, James Psota will share three key lessons learned in the process of building Panjiva over the last decade—lessons that can help reduce the risk of failure with data products. The learnings will draw from the Panjiva story, spanning from idea to profitable business to a successful exit. The talk will also share a brief overview of Panjiva, which illuminates the massive and complex global supply chain using machine learning and text analytics to extract insights from over a billion transaction-level shipping records. Panjiva has spent years learning how to turn messy data into intelligence using data science, scaling to thousands of customers. Join this timely discussion about building data products that deliver real value.

Photo of James Psota

James Psota


James Psota is the Co-Founder and CTO of Panjiva, which helps companies engaged in global trade make informed decisions. James is responsible for the company’s technical and product direction and leads the data science, engineering, and product teams. James led the creation of Panjiva from the ground up, culminating in a successful acquisition by S&P Global in 2018. Data from the Panjiva Supply Chain Graph have appeared in publications including the New York Times, Wall Street Journal, Forbes, and The Financial Times. Panjiva was named one of the top 10 Most Innovative Data Science Companies in the World by Fast Company in 2018. James has spoken about artificial intelligence, open data, and entrepreneurship at Harvard Business School, MIT, and The White House, as well as numerous industry and academic conferences. James studied computer science at Cornell and MIT.