Adroitent

January 2025

Established Quality Assurance Center of Excellence for Automotive Software leader

Adroitent Quality Engineering Services established and set up a Competence-driven Technology Practice – Quality Assurance Center of Excellence(QACoE) for an Automotive Software Leader in the US. Key Business Outcomes Enabled 20-30% cost savings with early detection of defects across SDLC Accelerated time-to-market by 10% Improved customer satisfaction significantly About the Customer The customer is a technology-enabled automotive leader that brings dealers and consumers together across North America with cutting-edge software products for car dealers. The customer’s all-in-one software for dealers includes trade-in valuations, payment calculators, digital brochures, videos for sales teams, service departments, and other service offers. Customer Challenge The customer faced critical challenges with their software as their time-to-market was largely delayed with bugs identified in production and they did not have an effective quality assurance (QA) practice within their system. Their software releases were delayed due to defects and issues identified and had no proper QA in place to effectively verify and validate their software. The existence of issues impacted their dealers and other prospects and adversely affected their business bottom line. Solution Delivered Adroitent partnered with the customer to establish and manage an end-to-end Quality Assurance Center of Excellence (CoE) as a part of establishing a Competence-driven Technology Center of Excellence (TCoE). Adroitent’s team established a centralized hub to standardize, improve, and oversee quality practices across the customer’s projects to ensure best quality assurance practices are adopted to enable high-quality solutions. Solution Highlights Adroitent’s quality assurance (QA) team established a Quality Assurance Center of Excellence by setting up a testing practice that helped the customer to continuously improve its quality assurance process, reduce defects, and increase the quality of deliverables, thus achieving quicker time-to-market and quicker ROI. Technology Leveraged The technology leveraged included JIRA, Playwright test automation tool, and X-ray for test management. Activities taken up as Part of establishing Quality Assurance Center of Excellence (CoE) Deployed Adroitent’s core team: The Adroitent’s core team involved in this project consisted of the Delivery Head, Project Manager, Test Lead, Test Engineers (Manual and Automated), and Business Analyst. Leveraged Automation tools and technologies: Adroitent’s QA teams leveraged the technology stack that included Typescript – Playwright automation tool, Jira, X-ray for test management, and Confluence to ensure seamless testing of the modules. Established reusable test document repository: QA teams enabled effective documentation, developed test plans and procedures, and adopted best QA practices. The reusable test assets created were test cases, automation scripts, and various other test templates to ensure quicker and faster testing outcomes for the customer. Developed a comprehensive test automation framework: The process included Test planning and design, Test case creation and maintenance, Test execution and reporting, and Test data management. Adroitent’s QA teams adopted some key considerations for automation testing that included prioritization of test case selection, effective test data management, Test environment setup, Test reporting and analysis along with effective maintenance and optimization.  Established scalable quality assurance processes: Enabled functional testing for the customer. We performed reviews to ensure a seamless quality assurance process. Teams performed Defect Management to identify processes for identifying, tracking, and resolving defects. Enabled seamless reporting and analytics: Teams were involved in reporting dashboards and also enabled real-time views of quality metrics, defect trends, and test coverage. The detailed reports on quality performance were shared with the product owner and stakeholders and provided effective data-driven recommendations for QA process improvements. Adopted a process of continuous improvement: QA teams regularly assessed the CoE’s performance and identified opportunities for improvement. Teams ensured to stay updated with the latest testing trends and technologies to enable effective outcomes for the customer. Adroitent also conducted regular training and skill development programs for its team members. Business Outcome Teams identified defects at an early stage and the %Defect Rate on average was 31% thus reducing the overall costs by 20-30%. Production defect slippage was reduced significantly for critical and high-severity defects. Ensured better test coverage: QA teams created more test cases to ensure superior and better test coverage. This led to fewer defects and avoided repetitive work at later stages, ensuring enhanced customer satisfaction with a fully functional product. Enhanced efficiency and overall productivity: QA CoE helped to streamline processes, workflows, and resources, which enhanced efficiency and overall productivity. The customer had fewer production issues and other quality issues, leading to lower costs, and higher productivity, helping them gain a better market position. Improved customer satisfaction: QA team identified tricky bugs in mobile apps and effective use cases were written and tested for both iOS and Android. The QA team approach focused more on Smoke tests which helped to find more bugs apart from the tickets and supported infra execution through automated test cases that improved customer satisfaction significantly. Accelerated time-to-market by 10%: Adroitent’s QA CoE establishment helped to provide high-quality products to market by identifying and resolving show-stopper issues at an early stage during the agile development, thus accelerating time-to-market by 10%. Reduced costs and risks: QA CoE teams helped the customer to minimize the defects and ensured no re-work which reduced costs and risks significantly. Connect with us

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Helped a healthcare wellness provider with Analytics platform using Ruby on Rails

Adroitent Product Engineering services helped a healthcare wellness provider with an integrated platform focusing on predictive analytics to help prevent and manage chronic diseases in the early stages. Key Business Outcomes Accurate prediction of chronic diseases in early stages Integrates with multiple healthcare providers and centers Helps to quantify organizational health About the Customer eKincare is a startup in the Indian healthcare environment – wellness focusing on providing predictive analytics to prevent and manage chronic diseases in the early stages. They provide effective predictive analytics for users when they upload their diagnostic reports. The information would be further analyzed to predict the user’s risk of getting chronic disease or chances of getting any other complications in the near future.  Also wellness programs are suggested to improve and maintain the users overall health. Customer Challenge The customer needed a comprehensive solution that not only allowed predictive health management but also integrated seamlessly with different service providers and diagnostic labs. The customer needed scalable and flexible solution with seamless integrations to multiple healthcare systems. Further, the solution was also needed to quantify organizational health and digitization to benefit employees,  and healthcare professionals. Solution Delivered The customer partnered with Adroitent to build a state-of-the-art integrated healthcare wellness solution that allows users to enter their vital signs and diagnostic reports data and provides related analytics. The platform is integrated with various labs and diagnostic centers, enabling users to conveniently book tests and appointments. The patients get to view and understand the trends in their health patterns as the values are projected in a graphical way and can be easily understood by users. They could also avail the recommended wellness programs from the relevant service providers. The platform can be used by individuals or by organizations who can make it available to their employees for better health management. Solution Highlights Architecture design and development: Adroitent’s team developed a scalable, efficient, and secure architecture to handle large volumes of health data while ensuring faster processing and effective analytics. Designed intuitive workflows: Enabled intuitive workflows within the system to ensure users with effective health monitoring and predictive analytics predictions. Mobile enabled: Delivered user-friendly mobile applications for both Android and iOS platforms, ensuring users can access healthcare services on the go. Design, architecture and development: Teams were involved in designing and development of the actual architecture for the healthcare portal. End-to-end testing: Conducted extensive testing to ensure optimal performance, security, and reliability of the solution across all workflows. Technology stack leveraged The technology stack used was Ruby on Rails, Python, React.js, JQuery, Android, iOS, Postgres, AWS, Elasticache, NGINX, and Heroku Cloud. The deployment architecture consisted of hosting on AWS private cloud, ISO 27001cettified information security standards, high availability with multi AZ-disaster recovery, and highly secure architecture with DMZ and VPC with intrusion prevention system. Features Developed Plugin-based architecture: Developed a highly configurable healthcare platform using a plugin-based architecture, which ensures scalability and allows easy customization based on the organization’s requirements. Integrations with multiple service providers: The platform connects users to a wide range of labs, diagnostics centers, and other healthcare providers, giving them the flexibility to choose services that best meet the user needs. User-friendly interface: The solution’s user-friendly interface provides clear, color-coded test results, graphical history, and clickable timelines to the users. Integration with EMR systems: The solution ensures healthcare providers can quickly view, manage, and analyze patient data in real-time with its seamless integration with EMR systems. Business Outcome Helps to implement targeted healthcare initiatives: The predictive data of an organization can be used to identify areas for improvement and implement targeted healthcare initiatives of its employees. The platform allows organizations to improve the health of their employees, offering a holistic view of organizational well-being. Enables proactive management: The platform uses advanced AI algorithms with digitization to analyze health data, enabling organizations to measure their employees’ health status and identify patterns or trends for proactive management. Generates health projections for patients: The patients get to view and understand the trends in their health pattern as the values are projected in a graphical way and easily understood. Connect with us

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