The abundance of data made it easy to collect and analyze
data from online user behavior and discussions. Although it is
encouraging to see businesses using such data and making data-driven
decisions, we often see decisions based on flawed analyses, or simply
using data that measure the wrong things. Panos will illustrate cases,
where simple reading of available data points into one conclusion,
while a deeper study uncovers a different truth. Examples will be drawn from online reputation systems, online reviews, crowdsourcing, and
other case studies.