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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 original article, published in Nov 2022 , explores how data quality hasn’t kept up with the current pace of business. Data quality is costing businesses not only time and money but is also contributing to the growing problem of distrust in business operations leading to increased customer frustration. Many managers in today’s business are seeking to obtain all of the data, when in reality they are given a set of incomplete or bad data leaving them to manage “by the seat of their pants.” In this podcast, we will explore the root of the problem and ways to overcome it, which may not be as hard as it seems.
Speakers: Thomas C. Redman, Ph.D., the Data Doc, President Data Quality Solutions. Kim Huth- Ziegler Solutions & Product Marketing Senior Specialist – BTP SAP
Autumn Moss Data Management | Business Technology Platform (BTP) Global Solution Marketing Manager, SAP
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This article was written by Thomas C. Redman, “the Data Doc,”
and originally published at Harvard Business Review on
March 2022
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