Case Studies
AI Testing In Banking Applications
Our team helps A leading banking institution to improve their customer experience by implementing a chatbot to assist customers with basic banking inquiries.
Test Automation For Insurance Claims Management System
We implemented test automation for a leading insurance company to improve their testing process and reduce the time and cost associated with manual testing.
Big Data Testing By Quality Matrix Group To Improve Risk Management Practices
To ensure the accuracy and reliability of the data, our team implemented a comprehensive big data testing strategy that included the following steps:
Security Testing In Banking
We collaborated with ABC bank to identify and mitigate potential security vulnerabilities in the bank's IT infrastructure, including its applications, networks, and databases.
Functional Testing For XYZ Bank
The objective of this functional testing engagement was to ensure the reliability and functionality of XYZ bank's trading application.
Security Testing In Banking
We collaborated with ABC bank to identify and mitigate potential security vulnerabilities in the bank's IT infrastructure, including its applications, networks, and databases.
AI Testing In Banking Applications
One of the challenges faced by banks is ensuring the reliability and accuracy of their applications, particularly those that handle sensitive customer data. Quality Matrix Group worked with a large bank to develop an AI testing framework that could help improve the quality of their banking applications.
Implementation Of A Big Data Platform At A Leading Global Bank
The bank implemented a big data platform by Quality Matrix team that included Hadoop, Spark, and other open-source big data technologies. The platform was designed to capture and store data from different sources, including customer transactions, financial markets, and social media.
Big Data Testing In The Insurance Industry By Quality Matrix
ABC insurance company collaborated with us to help them with their big data testing needs. The insurance company had a vast amount of data, including customer information, policy information, claims data, and financial data, which needed to be analyzed to identify trends, patterns, and insights. The company wanted to use this data to improve their products, services, and customer experience.
Functional Testing For LMN Bank
We collaborated with the bank to test several key aspects of the software used. This ensured reliability and functionality of their applications. By collaborating with us we could help them identify defects early in the development cycle and ensured that the system was working as intended.4
Functional Testing In Insurance Industry
The insurance company was facing several challenges related to their policy management system. The system was complex and had several modules that needed to be tested thoroughly before they could be deployed. By collaborating with us we could help them identify defects early in the development cycle and ensured that the system was working as intended.
