Whitepapers
Managing the Complexity of Data Management and Distribution
Cliff Cunningham and John Randles
The challenge of controlling Trade and Reference Data Management and Distribution is often underestimated. It can be a highly complex equation to manage multiple data vendors for multiple asset classes with differing identifiers and data formats, the complexity and interdependency of downstream systems and multiple trading clients with client specific trade format requirements.This paper addresses the:
- Complexity associated with Reference Data Management and Distribution
- Difficulties with Data Models and RDBMS based solutions
- Driver to turn Reference Data Management and Distribution into a competitive advantage
The ROI – PolarLake RDD and Enterprise Application Integration (EAI)
John Randles
This paper compares the experience of using PolarLake RDD in a real world project against the customer’s estimates to do the same project that were based on traditional EAI technologies. All measures are based on the IT implementation effort and do not take into account consequential business benefits such as higher STP rates, operational efficiencies etc.
Also it does not take into account the possibly exponentially higher build costs required when each individual line of business is responsible for the integration of their own pieces of Reference Data from a generic message to all systems.
2012