Data Testing

Business challenge

The testing of data technology solutions typically relies on manual testing of data rather than code, resulting in a lack of traceability in testing between user requirements and delivered solution at the point of sign-off. This is a product of:

  • Testing not integrated into the development and release processes
  • Limited risk-based regression testing
  • Incomplete data and scenario validation in functional testing
  • Poor quality or restricted datasets for testing

What we do

  • The Xytec Data Testing solution delivers a scalable, automated and fully integrated testing platform that provides data managers and process owners with assurance that systems are delivering timely, complete and accurate outputs
  • We focus on enabling testing automation to support the needs of continuous integration and deployment of code, and remove testing bottlenecks and testing inconsistencies
  • We support testing at an application, platform and process level


  • Delivery integrates to existing Agile, Hybrid or Waterfall models
  • Risk-based regression testing to support the continuous deployment model
  • Testing integrates into BAU process operations to enable ongoing system validation
  • Full reporting suite for transparency and monitoring of the code
  • Automated test packs that are scalable, written in plain English, and self-documenting
  • Free your teams to focus on their day jobs

Why Xyenta

  • Proven methodology to enable rapid deployment
  • Supported by low code integration into existing testing and monitoring toolset

Case study

Business challenge

Manual testing was adding a significant overhead in terms of both user commitment and delivery timeline.  The business recognised the need for a consistent, replicable, and scalable automated data testing platform to streamline the automated deployment process and release cycle used by IT.



Our Data Testing Architect worked with the business to define the testing strategy and test outcomes.  The team then developed the tests before automating them to run as part of the ongoing release cycle.  The automated testing platform is designed to be both scalable and adaptable to future business change.

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