Four Steps Toward Obtaining High-Quality Data Across the Data Supply Chain

Michelle GenserFebruary 7, 2020

A recent Forbes byline published by Infogix CEO, Early Stephens, looks at why data quality issues continue to be a pervasive and persistent challenge given the massive amounts of money companies spend on data quality tools. Here’s a snippet:

A recent research report indicates that the global data quality solutions market is expected to reach nearly $1.3 billion by 2022. As the CEO of a company that offers data management and governance solutions, I believe these significant capital investments in data quality tools will help companies develop actionable business insights, as well as enable better decision-making and increase business value using data assets that can be trusted.

Yet data quality problems remain one of the greatest challenges for most organizations, and I haven’t seen any signs the issue will be remedied anytime soon. As a result, businesses can undermine the success of analytical initiatives, jeopardize regulatory compliance and compromise operational effectiveness. The effects of bad data usually reverberate through the entire enterprise and create distrust among internal and external data consumers. They can also negatively impact the financial health of the company.

To continue reading this Forbes article about the pervasive issue of data quality, please click here.