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Where banking sectors face severe challenges in test data management. Each and every process which take place in banking sector incorporating with legacy and modern system is crucial and to tackle these test data management challenges.
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Top 5 Test Data Management Challenges Faced In Banking Sector
Let’s get to the situation where banking sectors face severe
challenges in test data management.
Banks are bounded by the government laws and their banking standards that are PCI and DSS (Payment Card Industry & Data Security Standard) to keep their customer data encrypted and safe. The process gets more complex when the security standards differ from country to country and are upgraded usually. However, as the increase of cyber attacks including data breaching, government forces banks to set access limitation on production data for cloning purpose. With that much of margins and without any option left, testers have to rely on testing bed’s data which isn’t expansive as production data.
From the Initial point, the banking procedures are very much complicated which are compiled with massive data and complex online business criteria integrated with this data. It usually takes ample amount of experience to get familiar with the characters and to know the requirement of every single data which can be synchronized with the correct data for a test case.
Data is frequently managed by legacy system back-end and is distributed to multiple databases across the globe. With different systems like payment process, cards, loyalty, rewards and much more, the data dependencies may very upstream or downstream which can make it more difficult to extract the required data. This problem occurs due to insufficient documentation incorporating with old legacy systems.
For complex test cases, the relevant data may not be available in the required format in the database. The QA testers will have to re-arrange the data and have implemented business rules to extract the proper required data to execute the test without being failed with data integrity laws.
Whether it’s big or small, every release requires being processed with sufficient regression testing to make sure that the former features should not be broken off with an upcoming functionality. It’s essential in the matter of banking as if any particular issue arises in production, that could be a danger point for the customers and searching another test data for the complete regression test process is the punctilious and difficult job to do.
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