SAS Data Remediation

For many data-intensive IT projects, anomalies or inconsistencies in the data prevent systems involved from operating optimally and providing clean and timely data to each other and end users. Data remediation provides a means to identify, review, and correct the problem data before it reaches the downstream systems.

SAS Data Remediation makes it easy to capture and review problems found in enterprise data. SAS Data Remediation has a web-based interface for data administrators and a representational state transfer (REST) web service API for system integration. Both of these interfaces interact with a remediation database that contains information about where the problem data is located. You can use this information to review which system generated the data, who should see the data, and how the data might be corrected.

Data remediation allows user- or role-based access to data exceptions, which are categorized by application and subject area. Once data remediation issues have been reviewed, they can be corrected through the same application, eliminating the need for another user to complete the correction process. All data remediation issues can also be associated with workflow definitions that route the issues to the correct decision maker for approval or instructions for additional action.