Enabling Faster and Higher Volumes of Software Releases

Creating Operational Efficiency and Client Value Through Innovation

When you are dealing with a myriad of interconnected internal and external systems, thousands of client organizations and tens of thousands of endpoints, change is constant. With high growth, constant stream of application releases and a high standard of quality–. the significant burden is placed on internal resources.

Impact

  • <10% Variance of actuals against Estimates in the last 5 years.
  • 15% Year over year efficiency gains
  • <2% Average production leakage year on year (Sev 3); 0 on Sev 1 and 2 priority
  • 46% Increased Automation coverage.
  • 30% Year over year increase on test coverage
  • 75% Reduction on manual regression test.

Desired outcome

A large global financial services firm in the payment processing industry had that very challenge.  The needed to ensure high quality in every monthly release, do so in a cost-effective manner even with an increasing volume of work and ensure a constant stream of innovation to keep ahead of their changing and evolving industry.

Our Solution

RCG Global Services teamed with the client to deploy dual shore Offerings that operated so seamlessly it was hard to tell who the client was and who was the provider.  The team provided: End to End Application Outsourcing from Inception to Maintenance support as well as an enterprise-wide state of the art Functional and On the fly Automated Testing.  To handle the growth we implemented a variety of advanced Testing services combined with the latest emerging technological advances and processes such as Service Virtualization, Agile SAFE Dev Ops, Test Data Management, Cloud computing, Centralized Real-time Regression Testing; On Demand Performance Testing/tuning and Combinatorial testing techniques

Our joint governance process included Software Delivery milestone targets Reporting through a Scorecard, Real-time Velocity, On Demand Quality Assurance Dashboard and SLA Metrics containing in-depth analysis and identification of potential efficiency gains.