Data Quality

Data best supports marketing when researchers fully understand what they want to measure and how.

Deploying AI is very different from implementing standard software — and human input is essential.

The cost of bad data is an astonishing 15% to 25% of revenue for most companies.

Large amounts of data don’t inherently remove sampling bias; in fact, they may make it worse.

IoT early adopters are reaping rewards in more timely, accurate, detailed, and reliable data.