Data Wrangling: Making People Productive with Data

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We hear a lot these days about unlocking the value in data. But value doesn’t come from data or computers. Value comes from people — the analysts and decision-makers who extract insight and improve processes. While the price of storage and computation plummets, the cost of skilled analysts is rising. And in our studies of data analysts in the field, they report wasting from 50% to over 80% of their time “wrangling” data, rather than doing significant analysis. In this talk I will discuss the realities of human productivity bottlenecks in data analysis, and give an overview of research and product directions for addressing this critical bottleneck in a substantive way.

Photo of Joe Hellerstein

Joe Hellerstein

UC Berkeley

Joseph M. Hellerstein is the Jim Gray Chair of Computer Science at UC Berkeley and cofounder and CSO at Trifacta. Joe’s work focuses on data-centric systems and the way they drive computing. He is an ACM fellow, an Alfred P. Sloan fellow, and the recipient of three ACM-SIGMOD Test of Time awards for his research. He has been listed by Fortune among the 50 smartest people in technology, and MIT Technology Review included his work on their TR10 list of the 10 technologies most likely to change our world.

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