This op ed was originally published Wednesday, March 19 2014 in IAPP for the FTC Alternate Scoring Conference.
In our modern sea of data, the resources to examine all relevant information regarding a decision is no longer feasible, so we use shortcuts. Consumer scores built using predictive analytics and fed by large datasets are the modern-day shortcuts to understanding individual consumer behavior. That’s why new and unregulated consumer scores abound. They are used widely in today’s world to predict consumers’ behavior, spending, health, fraud, profitability, and much more. These scores rely on petabytes of information coming from newly available data streams, and some old ones.