What Makes for “Bad Data” for Personalization?

We’ve all heard the expression: “Garbage in, garbage out.” It means that the quality of the input to a process will determine the quality of the output. If your inputs are bad, then your output will be too.

The adage certainly applies to personalization — any occasion when you decide what experience to deliver to an individual based on something you have learned about him — because even the most advanced machine-learning algorithm designed to provide a highly individualized experience won’t be successful without a deep understanding of each individual. That understanding comes from data.

Author: Katie Sweet

Leave a Reply

Fill in your details below or click an icon to log in: Logo

You are commenting using your account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s