Custom Stock Options System

Application Optimization Success Story (2004)

BUSINESS CHALLENGE:

A custom stock options services system was developed for this client by a third party vendor. The system is currently supported by an integrated team of Helios and Matheson technical specialists and the client's internal resources. This system is a critical factor in their strategy to increase their client-base and offerings, but presented the client with a number of business challenges:


Helios and Matheson SOLUTION:

Having had success with Helios and Matheson's SMART Approach to Application Optimization in the past, the client contracted with Helios and Matheson to help stabilize this system and overcome the difficulties they were facing. Helios and Matheson's solution was based on the System Delivery Framework (SDF), consisting of three main phases:

This particular engagement focused on the first two phases in which Helios and Matheson performed an extensive code and performance analysis of the system to identify the problem areas effecting system latency and instability. Helios and Matheson used the information gathered from the Code and Performance Analysis to develop an Optimization and Stabilization Plan for this system. This comprehensive plan included:


SOLUTION OBJECTIVE:

The Helios and Matheson Solution attended to all three of the client's primary concerns:


PROJECT SCOPE:

This project focused on two of the three application layers, the Presentation Layer and COBOL. The third application layer, the Data Layer, was addressed by Helios and Matheson in a separate effort which preceded this project. In terms of the DEFINE Phase analysis, Helios and Matheson reviewed the code base to identify:

In Addition, the DESIGN Phase included several facilitated sessions where resource planning and development strategy for the DELIVER Phase were addressed. During these sessions:


RESULTS ACHIEVED:

As a result of Helios and Matheson's work, the client is poised to maximize the value of the System to increase their client-base and offerings: