Data Analysis

Overview

Our client had a legacy system that was being used for different trading processes, after which they decided to upgrade to a later version of said system. They are one of largest trading institutions, with an employee count of 1,500.

Challenge

Our client had a legacy system that was being used for different trading processes, after which they decided to upgrade to a new version of the system. The system allowed for staff to process customers’ orders. Once the data was inputted, the information was processed through the system.

The challenge they had was their upgraded system was still very manual in its application and didn’t allow for any automation. Therefore, staff still had to be relied on to manually input customer’s request. Our client did not want to pay the licensing fee for third-party software to automate the process as this would increase operational costs, and the third-party system could not be customized to do exactly what they needed.

Recommendation

Ingenuity was brought in to develop a trading Management System, that would allow for two things:

Integrate with their existing system to automate the entire process end-to-end.
Customized to fit client’s specific needs such as being able to process orders and payments.

Implementation

Our Experienced Data Analyst team were deployed to research and build an understanding of the challenges of the production environment. Which involve setting up servers, databases, and configuring the necessary infrastructure.
maintenance and support activities are undertaken to fix any issues, update features, and provide ongoing support to end-users. This involves bug fixes, patches, updates, and continuous monitoring to ensure optimal performance.
Gathered requirements for the specifications they needed to develop the system interface.
Assessment done to gain a deeper understanding of the new system and the shortcomings it had that needed to be fixed.
Analyzing operational data to identify bottlenecks, inefficiencies, and areas for improvement. By applying statistical techniques like Six Sigma or Lean methodologies, you can help clients streamline processes and reduce costs.
Implemented and integrated the new system with their existing system.

Result

Our client saw a reduction in turnaround time to process orders . They also saw an increase in staff productivity which led to an increase in customer satisfaction and an increase in repeat business.

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