Our customer is the largest manufacturer and distributor of beverages in the world. They play a key role in offering various products such as soft drinks, fruit juices, and other non-alcoholic beverages. They were facing challenges such as missing documentation and best practices along with a lack of exhaustive quality assurance on their integration testing.
In this article you will learn how Miracle helped the customer to achieve high quality testing standards and helped in creating monthly dashboards, automated test cases and test results that could be analyzed. You will also learn how you can achieve better control on data integrity, faster regression test cycles and continuous improvement in productivity with the use of automation.
Our customer is the largest manufacturer and distributor of beverages in the world. They play a key role in offering various products such as soft drinks, fruit juices, and other non-alcoholic beverages. The customer manufactures, markets and even distributes the beverages to stores, restaurants, entertainment venues, offices and college campuses.
The products and technologies used in this effort by our team and the customer were,
In their existing architecture the customer was using Mainframes for Order Centralization Database implementation, which receives information and updates through webservices called by IBM CastIron and other systems.
The challenge with this project was that a lot of documentation was missing, and being a 3rd party product the customer was in need for exhaustive Quality Assurance with a specific focus on integration testing.
With an extensive experience working with testing tools, our QA team partnered with our customer to deliver efficient and adaptable outputs in testing process. The following solution and support services were provided by our team,
We can say that through our innovative services the customer was able to able achieve huge benefits. Some of the benefits that the customer experienced were,
Understand how our support services helped the customer by working closely with their team, processes, and data to gain both functional and business knowledge.
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