Tools, Processes, and Expertise to Meet Changes to Quality Engineering
The shift to shorter development cycles with more cloud environments is changing the role of quality engineering. No longer can it operate as a standalone check on development. Modern methodologies and DevOps require quality engineering teams to work hand-in-hand with agile teams, troubleshooting issues and testing solutions while providing continuous feedback on product and process quality.
To support this iterative approach within reduced cycles, teams are automating more processes while ensuring applications are always available to quality engineering. By applying these best practices, agile development teams can collaborate across pipelines, projects, and locations.
Our quality engineering and testing teams provide the tools, processes and expertise to address your unique requirements. Trianz has developed propriety frameworks and accelerators to optimize cloud data migration validation, test automation, and performance testing. Combined with our delivery assurance capabilities, we can provide consistency and executive visibility across an entire application portfolio.
We work with clients to:
Assess the current situation and define a roadmap forward.
Own quality assurance across a program or the enterprise.
Address specific data validation, automation and performance needs through our tools and frameworks.
Mature or introduce delivery assurance as an enterprise capability.
Our Approach to Quality Engineering and Maturity Testing
Enterprises consist of many IT teams using different methodologies to meet different business demands with varying degrees of legacy debt. Developing a standardized approach is therefore essential to ensuring quality results.
We provide a holistic, staged approach to address your unique needs that includes:
Evaluate current maturity, pain points and performance.
Strategize based on business and competitive goals.
Identify the required automation, reporting and tools.
Deploy the necessary capabilities for programs doing actual work.
Implement Delivery Assurance to track and report to management.
Driving Maturity With Our Proven IP for Quality Engineering and Testing
With quality engineering engagements for clients of all sizes under our belt, the Trianz approach is refined, tested, templatized and fast. Over the last five years, we have built a robust set of tools to accelerate engagement with proven IP.
DataVision+ reduces the manual effort of data validation by automating EDW testing from data migration and test data management to multi-source comparisons. It supports validation across both homogeneous and heterogeneous database platforms in on-prem and cloud environments, delivering:
30% cost reduction
70% design cycle reduction
99% regression process automation
Manages and executes test cases
Streamlines automation regression
Performs scheduling and tracking via mobile/web experience
Synchronizes data and generates queries automatically
Provides management reporting