The Client
An asset management firm, based in CT, with an AUM of over $12B. The firm was using a spreadsheet-based analytics solution with multiple modules. As spreadsheets posed huge challenges in distribution and consumption of the data, the client decided to replace the existing spreadsheet-based UI with a web-based UI using a flexible JavaScript library for building user interfaces.
Challenges Faced by the Client
Demand for React JS expertise – The firm had a pressing need for expert assistance in React JS. Being an emerging technology, experts with skills in React JS were hard to find.
Need for a flexible vendor – As the firm already had a solid back-end system (based on Python and JSON data), their need was to develop only the front-end with React JS. Finding a vendor offering the flexibility to build only the front-end in one of the emerging technologies was a huge challenge.
Solutions
Due to our 20+ years of serving the asset management industry, the hedge fund selected UBTI to independently test the new releases of the OMS and in-house application.
Quickened requirements gathering process – The UBTI team, knowledgeable about the Order Management Process, received a few training sessions on both the OMS and the in-house application, along with the client’s unique set of requirements. At the end of the training sessions, UBTI prepared and shared a reverse knowledge presentation and confirmed their understanding to the client.
Testing solutions – UBTI performed both manual and automation testing for each release of the OMS and the integration application, and earned the client’s appreciation by achieving the client’s desired quality standards. With automation testing, UBTI has significantly reduced the turnaround time needed for regression testing.
The key project metrics – UBTI, having formulated the test cases for this project, has built a repository of over 3000+ test cases, and has enabled the client to enjoy 20+ successful releases so far. The multifold benefits for the client also include the flexibility to ramp up/down resources on demand, time & cost savings and higher cost efficiency.