This IDC study provides information about why data goes bad, how it affects the business, and opportunities for data integration software vendors to help organizations increase their levels of data trust, availability, security, and compliance, now and into the future.
Data quality is in demand. Big Data and analytics and data science have brought data back into the front office, and qualified data as an asset. Like any physical asset, if not properly maintained it can become a liability.
"The demand for solutions that can identify, resolve, and prevent data quality issues is still outweighing the supply," says Stewart Bond, research director, Data Integration Software at IDC. "Organizations are still dealing with data quality issues in legacy systems, while modern cloud solutions distribute data (and data quality issues) into more silos, and the appetite for Big Data and analytics brings many new varieties of data into the organization at higher volume and velocity from external sources not under their control. Data quality software vendors are just beginning to target these 3rd Platform issues."
Please Note: Extended description available upon request.