Tuesday 12pm, 8 October 2019
Simplifying and Accelerating Data Exploration
Assistant Professor - UC Berkeley
Interactive data exploration tools are extremely popular; as examples, the spreadsheet tool Microsoft Excel is used by nearly 10% of the world's population, while the visual analytics tool Tableau was valued at 16B prior to its acquisition by Salesforce. Despite their popularity across a spectrum of domains, it is still challenging to use these tools to derive insights, especially on large datasets that are increasingly the norm, leading to frustration, missed opportunities and errors, and tedious manual effort. Drawing on examples from spreadsheets and visual analytics, we will describe our work on simplifying and accelerating data exploration, as well as some takeaways from our experience.
Aditya Parameswaran is an Assistant Professor in the School of Information (I School) and Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. Until June 2019, Aditya was an Assistant Professor in Computer Science at the University of Illinois, Urbana-Champaign. He spent a year as a PostDoc at MIT CSAIL following his PhD at Stanford University. He develops systems and algorithms for "human-in-the-loop" data analytics, synthesizing techniques from database systems, data mining, and human-computer interaction. His website is at http://adityagp.net.