By using tdwi.org website you agree to our use of cookies as described in our cookie policy. Learn More

RESEARCH & RESOURCES

Gartner Critical Capabilities for Data Quality Tools

January 1, 2017

Data quality is key to realizing value from any investment in data management, mining, and analytic technologies. Data hygiene should be core to an organization's strategy, and it has to be conducted on a regular basis. Inaccurate data can have a detrimental effect on the business and will decrease productivity in the organization. If data quality issues are not addressed, insights from data analysis will not be accurate. Whether bad data causes your organization to lose revenue, damages your brand, reduces your competitive edge, or simply results in bad decision making, the costs are significant.

See how 18 data management technology vendors stack up when comparing performance across this following set of the most significant use cases for data quality tools:

  • Big data and analytics
  • Data integration
  • Data migration
  • Information governance initiatives
  • Master data management
  • Operational/transactional data quality


Your e-mail address is used to communicate with you about your registration, related products and services, and offers from select vendors. Refer to our Privacy Policy for additional information.

TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.