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Delivery As A Service - A solution to the regression testing challenge 27 OCTOBER 2023

Delivery As A Service - A solution to the regression testing challenge
3 minute read

Streamlining Collections and Recoveries in SAAS Models 

Staying ahead of the curve is crucial in today’s fast-paced world. As technology evolves, so do the demands on robust collections and recoveries systems. Monthly releases in Software as a Service (SaaS) models are commonplace, yet these frequent changes introduce the challenge of effective regression testing, which can be costly to deliver in-house. 

In this blog, we will explore how an expert, outsourced solution can add value to your business. 

The Evolving Landscape of Collections and Recoveries 

Collections and recoveries systems can help firms minimise costs and losses, while maximising revenue through dynamically optimised differentiated treatment paths. To adapt to market demands with agility, SaaS models are a popular choice, being both flexible and scalable. 

The shift to SaaS introduces a faster pace of innovation. Monthly releases are the norm, addressing compliance requirements, enhancing customer experiences, and improving operational efficiency. While frequent updates are critical, the need for rigorous regression testing poses a challenge. 

The Importance of Regression Testing 

Regression testing is a quality assurance process that ensures new releases do not mess up existing functionality. It is a meticulous and time-consuming task that requires a team with deep expertise in the system's architecture and business rules. Given the frequency of releases in SaaS models, having an in-house team for regression testing can be resource-intensive and costly. 

Here are some key reasons why regression testing is essential: 

  • Data security & integrity: Data remains secure and accurate following the update. 
  • Regulation compliance: Firm remains compliant with regulatory requirements. 
  • Brand protection: Customer features work flawlessly, preserving trust and reputation. 
  • Cost reduction: Fix issues pre-release rather than incur the cost of post-release rectification. 

Delivery As A Service (DaaS) - A Solution to the Regression Testing Challenge 

DaaS provides a clear outline as to how we can help streamline your operations. Our team consists of seasoned experts who are well-versed in collections and recoveries systems. By outsourcing your regression testing needs, you can enjoy several advantages: 

  • Expertise: Our specialist team will ensure thorough and accurate regression testing. 
  • Cost Savings: No need to maintain a full-time, in-house team, reducing your overhead costs. 
  • Scalability: We can flex to meet your specific needs, be that monthly updates or otherwise. 
  • Efficiency: We can complete regression testing tasks quickly and efficiently. 
  • Risk Mitigation: Reduced risk of overlooking critical issues in your particular SaaS model.
  • Effectiveness: Outsourcing regression testing allows you to focus on core business activities. 

In conclusion, managing collections and recoveries systems in the era of frequent updates can be a daunting task. The importance of regression testing cannot be overstated, and keeping an in-house team for this purpose can be resource intensive. 

Our Delivery As A Service offering is a cost-effective and efficient solution, enabling you to keep pace with the industry's demands while focusing on what matters most to your organization. 

If you are interested in learning more about how DaaS can support your regression testing needs, and help you navigate the evolving landscape of SAAS collections and recoveries systems, get in touch with us via this form for a no-strings attached, free consultation. 

About the author


Jason Stockley
Senior Consultant

Jason comes wth over 20 years of experience in the finance industry, a decade of which was spent gaining experience within IT Systems and collections and recoveries specifically. He talks about technology, SQL, automation, collections, system analysis and system integration,

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