Metaverses has already proven to tackle data quality issues well, but with our complementary tooling it is possible to signal potential errors significantly earlier in the conversion process, enhancing the efficiency and quality of our methods even further. The most important advantage is the, often new, insights gained during the profiling phase. With this information data recovery actions are signaled by the business, possibilities for automatic data cleansing are identified and the quality of the test samples used in the mapping process can be improved. All leading to a more even distribution of the workload during the conversion and reduce the amount of unwanted surprises in terms of data quality. More importantly, the data profiling will lead to even faster and more efficient data migrations of a higher quality standard!
Are you looking for efficient methods to improve your data quality? Contact Metaverses!