Revolutionize your
ETL testing with power of AI

  • Automate and remove the dependence on experienced testing resources or Eliminate variances in your test quality with our AI powered automation
  • Make test data creation and management hassle free or Use our AI powered algorithms for hassle free test data creation and management
  • Cut down testing cycle by 30 to 40 Percent
  • Reduce your testing costs by 40 to 50 Percent
Explore Our Solutions

Revolutionize Your
ETL Testing with Power of AI

  • Automate and remove the dependence on experienced testing resources or Eliminate variances in your test quality with our AI powered automation
  • Make test data creation and management hassle free or Use our AI powered algorithms for hassle free test data creation and management
  • Cut down testing cycle by 30 to 40 Percent
  • Reduce your testing costs by 40 to 50 Percent
Explore Our Solutions
Boost Efficiency, Eliminate Errors!

Leverage AI and Fully Automate Your ETL Testing

In this digital world data is one of the biggest assets of a company and maintaining data quality is paramount for a company’s success. According to a Gartner Study, a US Business loses on average $8.2 million every year due to poor quality data. This can be much higher for larger corporations and corporations where data is used heavily in critical decision-making processes.
AI has become a game changer, providing automation which was not possible before. We at the MarsTQM who have a collective 5 decades of experience in ETL testing and data analysis have been through these seemingly unavoidable challenges in the process, and using AI came up with a tool that is specifically designed to overcome these challenges.

MarsTQM Advantage

Test Scenario Identification Need Skilled Testers, prone to human errors and delays. The AI-infused test case algorithm, incorporating the expertise of highly skilled testers, generates all necessary test case boundary scenarios. Ensuring full test coverage Postproduction defects are the major reasons that cause both financial and reputational losses, which can sometimes range from $100K to $1 M Per major defect.
Synthetic Test Data creation Labor intensive, overlapping data sources across projects lead to data corruption. The AI-infused test generation algorithm makes MarsTQM the only tool on the market capable of generating synthetic test data for the identified scenarios. Built-in test data management not only stop data corruption, but if any manual intervention led to corruption, it identifies and lets the correction of any corrupted data. The AI-infused algorithm reduces resource time by 35-40%, leading to significant time and cost savings.
Execution and eliminating false positive defects Coding expertise is needed for validation scripts. Test data corruption or errors in validation scripts cause false positive defects, leading Automated validation and built in test data management eliminate false positive defects. Elimination of unnecessary rework can trim the overall testing timeline by 10-15%.
Defect tracking and resolution Multiple artifacts and tools for tracking and communication result in delays and reduced efficiency. Defect communication and tracking within the tool ensure efficient management. Intelligent defect reporting helps developers quickly identify and fix coding errors. Automation and intelligent defect reporting reduce defect management and resolution time by 30-50%.