Continuous Improvement • Prevention
Data stored in databases, file systems, or even within the same file can become inconsistent over time resulting in a degradation in quality and accuracy. This could happen for a variety of reasons including technology changes, merging of data from multiple organizations, migration projects, application bugs, miscommunications between team members, etc.
Edaptive applies a proprietary process - a combination of automatic validation (algorithms based on Artificial Intelligence) and manual review - to identify these inconsistencies and anomalies which could have a critical impact on your end users and their trust in your data. Edaptive has worked with a variety of data, from SGML to data warehouses, and can find issues which you may not be aware of. As an example, Edaptive was able to identify a data issue that had been present but unidentified for 7 years for one client!
Contact Edaptive today to discuss quality assurance options to help prevent and preserve the quality and integrity of your data.
Our goal is to deliver best quality products and services to our clients.