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Using Graphs of Data to Understand your Customers, Users, and Employees

Ravi Iyer (
Data-Driven Business Beekman Parlor -- Sutton North
Average rating: ***..
(3.33, 3 ratings)

Given the ubiquity of data generated by online behavior, it is natural to think of data in terms of graphs. Social graphs connect individuals through friendship (Facebook) or business relationships (LinkedIn). Interest graphs can connect individuals to specific interests (Gravity) as well as connecting interests to related interests via Twitter hashtags, Facebook likes (Optimal Social), or more specific opinions (Ranker). In this talk, I will cover how one can use visualization and cluster analysis techniques to mine actionable insights about consumers deeper motivations and values from graph data. Graphs are powerful tools for inferring abstract, but powerful consumer insights, by allowing a broader view of data. However, every graph has its own biases and the “Wisdom of Crowds” approach to graphs and methods from academic psychology can help us combine information from various data sources to give us a much broader and more powerful insight into what motivates users, customers, and employees.

Photo of Ravi Iyer

Ravi Iyer

Ravi is the Principal Data Scientist at He combines 15 years of hands-on experience with database technology with a PhD in social psychology from the University of Southern California. He publishes regularly in top scholarly journals and his research, which focuses on the psychology of values, has been featured in the New York Times, Wall St. Journal, The Atlantic, and at SXSW Interactive.

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Marek K Kolodziej
10/30/2013 4:36pm EDT

Would it be possible to post the slides here, like the other speakers have?


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