![pointing-at-data-PFR5D4M-o4s1shdqiqas5so5h40v3j3hk2qq7yu3m9hhu1obd4 pointing-at-data](https://marstqm.com/wp-content/uploads/2023/06/pointing-at-data-PFR5D4M-o4s1shdqiqas5so5h40v3j3hk2qq7yu3m9hhu1obd4.jpg)
How Is MarsTQM Different?
ETL Testing has come a long way from the early days of automation scripts as the norm rather than the exception. There are a lot of tools available, including homegrown and out-of-the-box SQL-based, that improve data quality and reduce testing time.
These tools hit all the KPIs of an ideal testing process for 80% of the scenarios where no transformations on data are required, but for the other 20% of scenarios with transformations that traditionally take up 80% of the testing time and the biggest causes of unidentified defects, there are still significant unaddressed challenges.
Missed test scenarios leading to unidentified defects:
Data setup is not automated:
![analyzing-data-PKPDG6Z-o4rzzxsp89xyxqfad7n3vtg13kvdo6lmqst7i1dimg analyzing-data](https://marstqm.com/wp-content/uploads/2023/06/analyzing-data-PKPDG6Z-o4rzzxsp89xyxqfad7n3vtg13kvdo6lmqst7i1dimg.jpg)
![entering-data-PSN5TJM-o4s04nxhlaevb5k5rr6kx4igmbktded1q6w3d4d9c8 entering-data](https://marstqm.com/wp-content/uploads/2023/06/entering-data-PSN5TJM-o4s04nxhlaevb5k5rr6kx4igmbktded1q6w3d4d9c8.jpg)
SQL Coding is still required for execution and validation:
We have incorporated the skills of an analyst and a tester into our proprietary algorithms enabling MarsTQM to address these challenges and hit the KPIs of an ideal testing tool in 100% of the scenarios.