Case Study
Attaining 50% decrease in pipeline error rate with DQ monitoring
- Incedo DQXpert
- High volumes of data moving across the enterprise, with no quality monitoring
- Inconsistent end-user reporting and outputs - not easily reconciled across organization
- TAT for data fixes was extremely high and often disrupted timelines
- Key objective was to reduce the disruptions to data pipelines due to data quality issues
Reduction in Pipeline Error Rate