target audience: TECH BUYER Publication date: Dec 2023 - Document type: IDC PlanScape - Doc Document number: # US51397423
IDC PlanScape: Data Quality Management
Content
List of Tables
List of Figures
Get More
When you purchase this document, the purchase price can be applied to the cost of an annual subscription, giving you access to more research for your investment.
Related Links
Abstract
This IDC PlanScape discusses the importance of data quality management. The dimensions of data quality may seem simple, but data quality issues are complex.
"Dirty data is often a symptom of deeper people, process, and technology issues that impact the quality of the data, but getting to the root cause can be difficult and time-consuming and may shed light on less-than-optimal processes and practices," says Stewart Bond, research vice president, Data Intelligence and Integration Software research at IDC. "Cleaning up data within operational and analytical repositories without first understanding where the bad data is entering the system is the equivalent of bailing a boat without knowing where the holes are. Figure out where the holes are and where the bad data is coming from and why, then correct the issue and plug the hole so that you don't run out of energy continuously cleansing the data."