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PRONTO SOLUTIONS methodology provides a roadmap that documents the key for success and provides a plan to ensure rapid solution and deployment.
A methodology is a structured approach, which gives a step-by-step explanation of the process so that all parties involved share a common understanding of the goals and design requirements involved during the life cycle of the project.
 
PRONTO SOLUTIONS has a team of consulting experts who will implement strategic planning based on business requirements as well as assist in planning and developing a wide variety of e-Business solutions. Our proven methodology and best practices can help eliminate false starts, missed deadlines and cost over-runs.
 
 
PROVEN TEAMTRACK™ METHODOLOGY
This section outlines the methodology to be followed by PRONTO’s e-Business implementation team.
 
Analysis Stage
During the Analysis Stage, Pronto’s project manager works with its clients' project manager to understand the goals and objectives of the project. We would start with the customer as the focus, their needs and the functionality required for each and every phase of the project. Simultaneously, a Data Model of the solution would be developed to map the application Design before the actual development.

Development Stage
A prototype of the solution would be developed using a very small aspect of the project to show the proof-of-concept. During the requirement analysis of the proposed system, we would identify all the Common User Interfaces (CUI) and the Business Process Logic (BPL) and develop these as reusable objects during the development of the application. Then based on the functionality of the application we will develop the application Framework and its individual components in such a way that it is scalable in the future to accommodate more features maintaining the same look and feel for the end user.

Implementation Stage

Different Application Modules are assembled for the final integration and testing. The application is tested for using the replicated data (or the required extracted data) of the existing systems involved, if there is no such data available, then various test cases and data will be created to check the data integrity and functionality of each of the modules assembled. The system would be then rolled over to go into production with limited pilot users to test it for the following:
Performance metrics
Load balancing on the application databases
Monitor the users feedback for overall user satisfaction
Identify any production bottlenecks
Application bug fixes passed thru after testing
Any potential systems or performance problems
 
 
Go–Live and Support
After the system meets the required metrics as outlined by the projects requirements and a final user acceptance is signed, the system is set for production. End user training is conducted simultaneously with a predefined post implementation support agreement.
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