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Test Data is one of the most critical, and most overlooked, components of effective testing. Without the right data, testing becomes unreliable, automation fails, performance testing is limited, and environments cannot scale.
KJR’s Test Data Management services ensure your teams have the right data, at the right time, and in the right environments.
Modern systems require:
Without effective test data management, testing is inconsistent and unreliable, environments become bottlenecks, automation cannot scale and compliance risks increase.
KJR works with your teams to ensure test data is accurate, available and fit for purpose across environments and delivery pipelines.
Structured test data management enables realistic testing scenarios, reduces data-related risks and supports consistent, scalable testing across functional, automation and performance activities.
KJR works with you to ensure test data is accurate, available and fit for purpose across environments and delivery pipelines.
Structured test data management enables realistic testing scenarios, reduces data-related risks and supports consistent, scalable testing across functional, automation and performance activities.
Test data can be one of the biggest constraints on delivery. Restricted environments, slow refresh cycles and reliance on production data make it difficult to scale testing, automation and release cadence.
KJR removes these constraints, enabling fast, repeatable access to production-like data across environments through data virtualisation and automated provisioning.
So testing can run in parallel, DevOps practices can be adopted, and delivery can move at pace.
Protection of sensitive data through masking, anonymisation and secure handling practices.
KJR brings experience in identifying and protecting sensitive data, including PII detection and de-identification approaches used in complex environments. We specialise in selecting and evaluating the effectiveness of data masking and de-identification tools, ensuring they preserve data integrity while meeting regulatory and organisational requirements.
Real World Case Study: Developing & validating a high-accuracy NLP de-identification pipeline.
Creation of realistic, scalable datasets to support complex testing scenarios.
Reliance on production or production-obfuscated data can introduce risks and lead to unreliable testing. As this data is not controlled and may be inconsistent, test outcomes become difficult to trust. Using sensitive data in lower environments also increases the risk of breaches and non-compliance.
KJR helps you generate production representative data that is controlled, safe and fit for purpose. KJR's generated synthetic test data enables safe, consistent, edge-case testing without introducing risks associated with using production data in testing.
Management of how test data is created, refreshed, versioned and retired across environments.
This ensures data remains accurate, relevant and consistent throughout the testing lifecycle. As a result, you can release with confidence, supported by reliable and trusted test outcomes.
We align test data with automation frameworks and performance testing requirements.
This ensures data supports repeatable execution, realistic load scenarios and scalable testing across delivery pipelines.
Reliable test data enables systems to be tested effectively under real-world conditions, reducing risk and improving overall quality. Fewer delays, less rework and more consistent outcomes lead to smoother delivery and better system performance.
Developing & Validating High-Accuracy NLP De-Identification Pipeline
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KJR ensures your testing is powered by data you can trust.
Talk to KJR about Test Data Management using this form
or contact your local KJR General Manager.