Over the past years, there has been an increase in attempts to quantify and predict all parts of human behavior. With the rise in analytics comes increased attention – and increased errors. This talk uses recent examples from politics, healthcare, and market research to discuss people data analytics problems. It will identify frequent people data errors, how to identify and correct these, and the impacts of not addresses these errors.
