How Much Can Bad Data Cost Us?

The never-ending fight to cease bad data

Nam Nguyen
Aug 11, 2020 · 7 min read
Photo by Jonas Leupe on Unsplash

Bad data is expensive

1. Organizations believe poor data quality to be responsible for an average of $15 million per year in losses - Gartner research2. 60% of data scientists admit that they spend most of their time cleaning and organizing data - CrowdFlower3. It costs 10 times as much to complete a unit of work when the input data are defective as it does when they are perfect - the Rule of Ten by Thomas C. Redman
Photo by Icons8 Team on Unsplash

Bad data is the root of all evil

How quickly can we react?

Photo by Kaleidico on Unsplash

Data governance is to add a security layer

Data Quality ensures that data is fit for its intended uses in operations, decision making, and planning.

By failing to prepare, you are preparing to fail — Benjamin Franklin


Criteo R&D Blog

Tech stories from the R&D team