Data bugs always exist and are influenced by various factors from development experience to complexity of the project or scope of the datasource. By providing detailed testing results, the team can focus efforts and prioritize fixes based on their impact to data.
Spend your effort where it matters most by pinpointing the most critical issues
Evaluate and document the risks and impact of each issue found
By knowing where the issues are, we can be better prepared to handle edge cases that can’t be easily solved by the team. From duplication of events to missing cases or dates, we will do what it takes to handle even the most complex issues.
Data processing fixes at the source whenever possible