| Market Data Optimisation |
|
Leveraging our breadth and depth of experience in both the financial markets and operations consulting we implement practical and sustainable solutions that quickly increase service, establish control and reduce costs. Screen has conducted market data reviews for more than 300 of the world leading Financial Institutions and has accomplished a 100% track record in achieving significant cost savings whilst maintaining user satisfaction! The type of Market Data projects we provide range from 'Quick Scans' and ‘Health Checks’ to ensure client cost are in line with the industry benchmark (the SCREENbenchmark©), through global market data optimisation projects (Vendor Information Projects VIP) which have achieved between 5% and 20% savings within the first year.
The VIP approach is very much focused on optimising Demand Management (usage versus alternative analysis) and optimising Administrative Management (billing, inventory mismatch,compliancy). Screen has been able to service its clients successfully, going far beyond just removing unused exchanges and services by relying more on data content and vendor expertise, tools, procedures and industry benchmarks to qualify which market data services are appropriate and necessary on a user by user basis. The market data re-distribution review addresses the challenges set by the use of market and reference data in advanced trading models and other applications. Today, financial institutions need to source, manipulate, derive, cleanse, store and distribute data, in numerous ways and on a global scale. Not only does this involve cutting edge technology, ultra-low-latency data feeds and sophisticated distribution mechanisms, today it also means understanding the stringent legalities around the use of external data, within these complex environments. Screen has been conducting data re-distribution reviews for many years and we understand the intricacies and complexities of the applications which consume and re-distribute market data. This includes the analysis and evaluation of data used within server-based applications, Excel models, internal databases, Intranets, Internets and other forms of storage and retrieval facilities.
|