Topic

Data quality

Every post on the Index about data quality.

2 posts

Marketing Measurement · June 29, 2026

Bad predictions usually come from bad data systems, not models

Todd argues that analysts too quickly blame predictive models when the real fault lies upstream. Inconsistent definitions, broken processes, stale data and weak governance compound over time, so fixing the surrounding data system should come before replacing the model.

By Todd Kirk

Marketing & Advertising · April 23, 2026

Decision-makers own AI outcomes, not the code or the data

Jeff argues that AI failures in marketing usually trace back to human oversight rather than faulty algorithms. Flawless code can't fix bad data, so decision-makers must own their choices, accept AI's limits, and turn insights into action.

By Jeff Greenfield