Tell us about your QA challenges
Awards & Certifications
With increasing test data volumes, diverse data types, complex relationships, and data sensitivity, most enterprises face significant challenges with test data management. Having good quality data is key to testing enterprise functionality correctly and efficiently in the test environment. Copying production data to be used for the test can expose the company to numerous privacy and compliance risks. Without a strong test data management strategy, you may jeopardize your testing cycles and pile up huge infrastructure costs.
TestingXperts brings its unique 4P Methodology for creating an end-to-end test data management solution for enterprises.
TestingXperts gives you the ability to create synthetic test data or use masked production test data for testing. Using synthetic test data creation techniques, test data can be created to match the exact requirements without using any sensitive information. Some of the synthetic test generation tools we have experience in are Dynamic data generator, Datamaker, Solix EDMS, etc. We also employ solid data masking techniques to ensure all the sensitive information in the data is protected.
Stakeholder engagement
Planning & Scheduling
Requirement meeting
Requirement review
Data Access
Data Analysis
Design document
Design review / sign off
Masking programs
Reference Data setup
Unit test plans
Validate
Fix
QA Signoff
Mask Other
Non prod environment
Release document
Repetitive solution
Closure meetings
Lesson Learnt
Process metrics & feedback
Sign-off & hand-over
