A brokerage firm wants to improve the speed and reliability of its web based electronic transaction system. To do so, it must first determine which counterparties encountered the greatest amount of latency and session rejections over the past two years, and the underlying cause in each instance.
The in-house FIX engine chronicles a seemingly endless barrage of details: Orders, executions, rejects, requests, volume, instrument, latency, timestamps, status, sessions, histories, and much more - every time, for hundreds of thousands of transactions on a daily basis.
By using Style Intelligence, the firm is able to drill-down into transactional data and easily create reports and interactive dashboards that reveal trends and correlations in the underlying data. Thus, the firm is able to determine the root cause of the issues they seek to amend, and is able to effectively allocate the appropriate internal resources towards the areas designated for improvement.