Let's Talk Data Podcast

Ep. 95: Bad Data Costs the U.S. $3 Trillion Per Year

Informações:

Sinopsis

Join Dr. Thomas C. Redman, aka “the Data Doc,” President of Data Quality Solutions, and Kim  Huth-Ziegler and Autumn Moss from the Global Product and Solution marketing team as they discuss an article written by Tom Redman titled “Bad Data Costs the U.S. $3 Trillion Per Year.”  In the original article, published in September of 2016, consideration is given to the astronomical cost of bad data in the U.S. Companies are spending more than ever to correct mistakes in data, but have also absorbed the cost of “checking the data and correcting the data” as just another work task in daily work activities. Reducing the costs of bad data is no secret: you have to shine a light on it and reduce it as much as possible, as quickly as possible.  Join Dr. Thomas C. Redman, aka “the Data Doc” President of Data Quality Solutions, and Kim Huth-Ziegler and Autumn Moss from the Global Product and Solution marketing team as they discuss an article written by Tom Redman titled “Bad Data is Sapping Your Teams Productivity”   The o