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Custom Built Application to Reduce DEV Effort


This case study explores how we significantly improved the development and reporting processes of our clients. By developing a custom-built application, TranSigma worked in coordination with business partners to create code more efficiently while also providing better visibility to end-users to make application and asset vulnerability data more actionable.

Custom Built Application to Reduce DEV Effort




Service Oriented Vulnerability Management (SOVM)


Our client encountered challenges developing complex code for internal business applications while adhering to strict control standards. The need to adhere to these controls while leveraging legacy technology caused greater inefficiency and introduced greater risk of error. These issues not only complicated code maintenance but also prolonged the process of introducing new functionality. Additionally, end users could not easily interact with the data.


To address the client's challenges effectively, we developed an application that automatically generates code following established standards. This innovation eliminates the need to manually account for existing standards when implementing minor changes as the application automatically applies compliant code. Automatic tracking mechanisms are included functionality within the application designed to minimize errors and improve system visibility. Furthermore, there is a built-in solution for creating user interfaces and data dashboards, enhancing data interaction for end-users.


The implementation of our solution yields several positive results. Coding is more streamlined, simplifying the development process for our team and for our client. This increased efficiency allows developers to introduce more functionality at a higher velocity. Additionally, customers can enjoy a more user-friendly interface, enhancing their data interaction experience

Key Takeaways

Simplify: Reducing code redundancy significantly accelerates the development process, fostering greater efficiency.
Consistency is key: Consistent configurations simplify maintenance tasks
Consider the end user: User-friendly interfaces make data management more accessible
Accountability: Improved data integrity and tracking mechanisms ensure transparency, enhancing
accountability throughout development.

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