Join us for this live event on Wednesday, October 1 at 10 am Pacific, 1 pm Eastern. Register here for free.

The future of data lies in Analytics 3.0 according to Tom Davenport, whose latest book, “Big Data at Work”, is making a significant impact in the field. Davenport is also professor of Information Technology & Management at Babson College, and when he speaks about data, people sit up and pay attention.

Back in the 90s, Analytics 1.0 gave us easily assessable data points like customer profiles, billing trends, and other marketing stats. Jump ahead a decade or so, and Analytics 2.0 — now dubbed ‘big data’ — moved to messy qualitative factors like customer experience and customer satisfaction. Heading in to 2015, an understanding of Analytics 3.0, which combines both big and small data, will be essential for organizations.

tom davenportAs Davenport explains, one of the major challenges now unfolding is the sheer volume of data that’s becoming exponentially larger as we head into the IoT era. Unless data scientists develop ways to clean and integrate data far more quickly, the data avalanche will bury us all.

You don’t have to wait to read Davenport’s book to get the benefit of his thinking. In this one-hour webinar, Davenport will explain the data challenges organizations are facing today, and what it will take to overcome them and be ready for them.

The session will conclude with a presentation from Nidhi Aggarwal and Alan Wagner of Tamr, a leader in connecting and enriching diverse data. Together they’ll explain Tamr’s approach to data integration and provide a demo focused on supply chain visibility.

Register for free


• Tom Davenport, Distinguished Professor of Information Technology & Management at Babson College; Fellow at the MIT Center for Digital Business and author of “Big Data at Work”
• Nidhi Aggarwal, Strategy and Marketing Lead, Tamr
• Alan Wagner, Field Engineer, Tamr


• Dylan Tweney, Editor-in-Chief, VentureBeat

What you’ll learn:

• The types of data that companies increasingly deal with
• How thinking needs to move from Analytics 2.0 to 3.0
• The current and future role of data scientists
• Strategies for winning in the Analytics 3.0 world