Testing Strategy Framework for Fintech Suite

Fixing a broken, release based QE Processes to an Integrated QE Framework for a FinTech Product Suite.

An integrated approach focusing on Regression, Data and Automation Testing.

Technology Stack

Pain Points

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Outdated Automation Scripts: The client had a significant challenge with existing automation scripts that were either broken or outdated, unable to keep pace with the rapid evolution of their product offerings.

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Lack of Test Coverage and Efficiency: There was no formal process or validation mechanism in place to assess the coverage of testing. The absence of comprehensive upstream and downstream regression suites hindered effective testing and validation.

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Cross-Browser and Cross-Platform Compatibility: Ensuring consistent performance and functionality across multiple browsers (such as Chrome, Safari, Firefox) and various operating systems (including Mac, Linux, and Windows) posed a significant challenge.

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Dynamic Data Simulation Missing: The absence of real-time scenario testing for expected bulk loads of mission-critical workflows made it difficult to identify, isolate, and resolve performance issues in a timely manner.

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Homegrown QE Processes: The client's quality engineering processes were predominantly homegrown and couldn't keep up with the expanding functional breadth of their product portfolio, leading to inefficiencies and operational challenges.

Solution Overview

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We collaborated with a leading Fintech firm to create a robust quality engineering framework, focusing on integrating test data management, automation, and test coverage efficiency.

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We repurposed automation with a market-oriented approach, closely working with product ownership to identify and prioritize essential user journeys. We refined existing scripts and developed new ones to address critical areas.

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A time-driven and market-centric approach was employed to define and prioritize mission-critical processes, ensuring a concentrated effort on high-impact areas.

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We used the Pareto principle to target the vital 20% of root causes responsible for 80% of issues, optimizing test coverage patterns.

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Through comprehensive data profiling analysis, we assessed data sources and formats, creating data profiles. Synthetic data techniques were employed for real-time scenario testing, improving system performance and application management.

Business Impact

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Faster Time-to-Market: Testing efficiency reduced the product testing lifecycle by 30%, ensuring timely product delivery and quicker market entry.

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Safeguarded Reputation: Enhanced test coverage minimized defect leakages by 40%, preserving the product's reputation and upholding security standards.

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Transparent Reporting: Publishing test results for all Continuous Integration builds provided transparency, enabling rapid issue identification and resolution.

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Streamlined Efficiency: Improved test coverage eliminated manual regression cycles, saving 50% in time and 40% in costs, optimizing the testing process for efficiency and cost-effectiveness.

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Cost Savings: The streamlined approach and automation resulted in significant cost savings, contributing to improved overall business profitability.

Testimonials of Our Happy Clients

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A team of young, dynamic and curious minds recognized with global awards for making a significant impact on making human lives better

Awarded as Runner-up under Cloud Solutions Category at the Express IT Awards

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250+

Smart
Development
Engineers

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90+

Digital
Projects for
reputed Clients

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14 yrs

in Digital
Engineering

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.
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