The last thing companies want is tainted data merging with incorrect information. The process of maintaining data integrity enhances the reliability of information for use by a business. This is where tools to ensure data quality come in.
Data quality tools analyze sets of information and identify incorrect or incomplete data, ranging from customer contact information to granular financial statistics. Cleansing data can consist of removing abnormalities or deduplicating and merging repeat information.
By targeting and cleaning data lists, data quality software allows businesses to establish high-level standards for data integrity and monitor these standards based on the industry, market, or in-house regulations for specific large data sets or unique software products, such as CRM and marketing automation tools.
Today, data quality solutions are available in the cloud as software as a service, as well as on-premise, and support the necessary data integrity for other critical systems, including customer relationship management, master data management, data governance initiatives, and database management.
Here are the winners of the 2016 DBTA Readers’ Choice Awards for Best Data Quality Solution:
Trillium Software System
Quest Toad Data Point
BackOffice Associates Data Stewardship Platform