Objectives and Benefits
Objectives
Summary
The aims of Data Quality remediation are to take corrective actions to resolve Data Quality issues as well as preventive actions to improve the level of Data Quality.
Generally, a Data Quality remediation processes is kicked off when an issue is identified either automatically through Data Quality controls and checks or manually declared by a user.
A Data Quality remediation plan is developed as part of the remediation process and outlines specific actions, tasks, responsibilities and timelines for addressing identified Data Quality issues.
In airports, agents are regularly confronted with issues at each step of standard processes. Known issues are resolved promptly following established protocols.
In case of unknown situations, clear escalation paths are followed to address the issue.
Similarly, data quality remediation processes should help ensure prompt resolution of issues and errors.
Benefits
Some of the benefits of Remediation are the following:
Quick error correction
Remediation enables rapid intervention to correct errors identified during data quality checks, minimizing the impact of inaccurate data on operational and strategic decisions. This ensures that errors do not propagate through systems, reducing the cost and effort required for subsequent corrections.
Reliability
By regularly correcting inconsistencies and errors, the enterprise can maintain and improve the reliability of its databases. This increases user and customer confidence in the enterprise' digital services, crucial for travel reservations and management operations.
Efficiency
By resolving data issues at their source, remediation helps simplify business processes, reducing the time and resources needed to handle exceptions and errors. This allows teams to focus on higher value-added tasks.